Book Recommender System

Author: Andrew Tran

Blog Post Inspiration and Objectives

In this blog post, I was hoping to take on the classic beginner/intermediate challenge of creating a simple Machine Learning recommendation system, imitating ones used at Big-Tech companies such as Netflix. Additionally, with so many examples online about Machine Learning movie recommendation systems, I decided to look to establish this system on another area which has always piqued my interest: books. This time I would try to make my own customized RNN if possible, using TensorFlow. With that said, let’s try to analyze and create this system with some Machine Learning:

Data Preprocessing - Cleaning and Analytics

```{python}
# Import needed libraries
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns
color = sns.color_palette()
from sklearn.model_selection import train_test_split
from sklearn.metrics import average_precision_score, roc_auc_score, precision_recall_fscore_support, confusion_matrix, classification_report
from sklearn.metrics import mean_squared_error, pairwise_distances
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Input, Embedding, Flatten, dot
from tensorflow.keras.optimizers import Adam
plt.style.use("fivethirtyeight")
```

First, we will read and display all of the initial datasets in our file system for this blog post, downloaded from Kaggle. These datasets contains loads of valuable information such as Book-ISBNS, user-ids for the (anonymous) users/reviewers, book ratings, etc.

```{python}
# Reading and displaying all of the initial datasets
books_df = pd.read_csv("datasets/Books.csv")
ratings_df = pd.read_csv("datasets/Ratings.csv")
users_df = pd.read_csv("datasets/Users.csv")
```
C:\Users\andre\AppData\Local\Temp\ipykernel_12436\2730945584.py:2: DtypeWarning: Columns (3) have mixed types. Specify dtype option on import or set low_memory=False.
  books_df = pd.read_csv("datasets/Books.csv")

For clarity on the constraints and parameters of the working datasets, I went to find high-level exploratory statistics on all of the datasets: shape, information about all of the entries, etc.

```{python}
# Determining the shape of each of the initial datasets
books_df.shape, ratings_df.shape, users_df.shape
```
((271360, 8), (1149780, 3), (278858, 3))
```{python}
# Figuring out all of the columns (and their names) available for me to use in the dataset
books_df.columns, ratings_df.columns, users_df.columns
```
(Index(['ISBN', 'Book-Title', 'Book-Author', 'Year-Of-Publication', 'Publisher',
        'Image-URL-S', 'Image-URL-M', 'Image-URL-L'],
       dtype='object'),
 Index(['User-ID', 'ISBN', 'Book-Rating'], dtype='object'),
 Index(['User-ID', 'Location', 'Age'], dtype='object'))
```{python}
# Getting basic information about the all of the datasets
books_df.info(), ratings_df.info(), users_df.info()
```
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 271360 entries, 0 to 271359
Data columns (total 8 columns):
 #   Column               Non-Null Count   Dtype 
---  ------               --------------   ----- 
 0   ISBN                 271360 non-null  object
 1   Book-Title           271360 non-null  object
 2   Book-Author          271358 non-null  object
 3   Year-Of-Publication  271360 non-null  object
 4   Publisher            271358 non-null  object
 5   Image-URL-S          271360 non-null  object
 6   Image-URL-M          271360 non-null  object
 7   Image-URL-L          271357 non-null  object
dtypes: object(8)
memory usage: 16.6+ MB
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 1149780 entries, 0 to 1149779
Data columns (total 3 columns):
 #   Column       Non-Null Count    Dtype 
---  ------       --------------    ----- 
 0   User-ID      1149780 non-null  int64 
 1   ISBN         1149780 non-null  object
 2   Book-Rating  1149780 non-null  int64 
dtypes: int64(2), object(1)
memory usage: 26.3+ MB
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 278858 entries, 0 to 278857
Data columns (total 3 columns):
 #   Column    Non-Null Count   Dtype  
---  ------    --------------   -----  
 0   User-ID   278858 non-null  int64  
 1   Location  278858 non-null  object 
 2   Age       168096 non-null  float64
dtypes: float64(1), int64(1), object(1)
memory usage: 6.4+ MB
(None, None, None)
```{python}
# Seeing each of the dataframes individually
books_df
```
ISBN Book-Title Book-Author Year-Of-Publication Publisher Image-URL-S Image-URL-M Image-URL-L
0 0195153448 Classical Mythology Mark P. O. Morford 2002 Oxford University Press http://images.amazon.com/images/P/0195153448.0... http://images.amazon.com/images/P/0195153448.0... http://images.amazon.com/images/P/0195153448.0...
1 0002005018 Clara Callan Richard Bruce Wright 2001 HarperFlamingo Canada http://images.amazon.com/images/P/0002005018.0... http://images.amazon.com/images/P/0002005018.0... http://images.amazon.com/images/P/0002005018.0...
2 0060973129 Decision in Normandy Carlo D'Este 1991 HarperPerennial http://images.amazon.com/images/P/0060973129.0... http://images.amazon.com/images/P/0060973129.0... http://images.amazon.com/images/P/0060973129.0...
3 0374157065 Flu: The Story of the Great Influenza Pandemic... Gina Bari Kolata 1999 Farrar Straus Giroux http://images.amazon.com/images/P/0374157065.0... http://images.amazon.com/images/P/0374157065.0... http://images.amazon.com/images/P/0374157065.0...
4 0393045218 The Mummies of Urumchi E. J. W. Barber 1999 W. W. Norton &amp; Company http://images.amazon.com/images/P/0393045218.0... http://images.amazon.com/images/P/0393045218.0... http://images.amazon.com/images/P/0393045218.0...
... ... ... ... ... ... ... ... ...
271355 0440400988 There's a Bat in Bunk Five Paula Danziger 1988 Random House Childrens Pub (Mm) http://images.amazon.com/images/P/0440400988.0... http://images.amazon.com/images/P/0440400988.0... http://images.amazon.com/images/P/0440400988.0...
271356 0525447644 From One to One Hundred Teri Sloat 1991 Dutton Books http://images.amazon.com/images/P/0525447644.0... http://images.amazon.com/images/P/0525447644.0... http://images.amazon.com/images/P/0525447644.0...
271357 006008667X Lily Dale : The True Story of the Town that Ta... Christine Wicker 2004 HarperSanFrancisco http://images.amazon.com/images/P/006008667X.0... http://images.amazon.com/images/P/006008667X.0... http://images.amazon.com/images/P/006008667X.0...
271358 0192126040 Republic (World's Classics) Plato 1996 Oxford University Press http://images.amazon.com/images/P/0192126040.0... http://images.amazon.com/images/P/0192126040.0... http://images.amazon.com/images/P/0192126040.0...
271359 0767409752 A Guided Tour of Rene Descartes' Meditations o... Christopher Biffle 2000 McGraw-Hill Humanities/Social Sciences/Languages http://images.amazon.com/images/P/0767409752.0... http://images.amazon.com/images/P/0767409752.0... http://images.amazon.com/images/P/0767409752.0...

271360 rows × 8 columns

```{python}
ratings_df
```
User-ID ISBN Book-Rating
0 276725 034545104X 0
1 276726 0155061224 5
2 276727 0446520802 0
3 276729 052165615X 3
4 276729 0521795028 6
... ... ... ...
1149775 276704 1563526298 9
1149776 276706 0679447156 0
1149777 276709 0515107662 10
1149778 276721 0590442449 10
1149779 276723 05162443314 8

1149780 rows × 3 columns

```{python}
users_df
```
User-ID Location Age
0 1 nyc, new york, usa NaN
1 2 stockton, california, usa 18.0
2 3 moscow, yukon territory, russia NaN
3 4 porto, v.n.gaia, portugal 17.0
4 5 farnborough, hants, united kingdom NaN
... ... ... ...
278853 278854 portland, oregon, usa NaN
278854 278855 tacoma, washington, united kingdom 50.0
278855 278856 brampton, ontario, canada NaN
278856 278857 knoxville, tennessee, usa NaN
278857 278858 dublin, n/a, ireland NaN

278858 rows × 3 columns

Before I can pass the datasets over to the Machine Learning model for training and prediction, I had to consolidate all of my datasets into one so that it would be more easier and convenient to analyze.

```{python}
# Remove any unnecessary columns (before merging)
books_df.drop(columns=["Image-URL-S", "Image-URL-M", "Image-URL-L"], axis=1, inplace=True)
books_df
```
ISBN Book-Title Book-Author Year-Of-Publication Publisher
0 0195153448 Classical Mythology Mark P. O. Morford 2002 Oxford University Press
1 0002005018 Clara Callan Richard Bruce Wright 2001 HarperFlamingo Canada
2 0060973129 Decision in Normandy Carlo D'Este 1991 HarperPerennial
3 0374157065 Flu: The Story of the Great Influenza Pandemic... Gina Bari Kolata 1999 Farrar Straus Giroux
4 0393045218 The Mummies of Urumchi E. J. W. Barber 1999 W. W. Norton &amp; Company
... ... ... ... ... ...
271355 0440400988 There's a Bat in Bunk Five Paula Danziger 1988 Random House Childrens Pub (Mm)
271356 0525447644 From One to One Hundred Teri Sloat 1991 Dutton Books
271357 006008667X Lily Dale : The True Story of the Town that Ta... Christine Wicker 2004 HarperSanFrancisco
271358 0192126040 Republic (World's Classics) Plato 1996 Oxford University Press
271359 0767409752 A Guided Tour of Rene Descartes' Meditations o... Christopher Biffle 2000 McGraw-Hill Humanities/Social Sciences/Languages

271360 rows × 5 columns

```{python}
# Merge the books and ratings dataframes to have one & inclusive dataframe, 
# combining all book, user, and rating information
df = pd.merge(books_df, ratings_df, on="ISBN")
df
```
ISBN Book-Title Book-Author Year-Of-Publication Publisher User-ID Book-Rating
0 0195153448 Classical Mythology Mark P. O. Morford 2002 Oxford University Press 2 0
1 0002005018 Clara Callan Richard Bruce Wright 2001 HarperFlamingo Canada 8 5
2 0002005018 Clara Callan Richard Bruce Wright 2001 HarperFlamingo Canada 11400 0
3 0002005018 Clara Callan Richard Bruce Wright 2001 HarperFlamingo Canada 11676 8
4 0002005018 Clara Callan Richard Bruce Wright 2001 HarperFlamingo Canada 41385 0
... ... ... ... ... ... ... ...
1031131 0440400988 There's a Bat in Bunk Five Paula Danziger 1988 Random House Childrens Pub (Mm) 276463 7
1031132 0525447644 From One to One Hundred Teri Sloat 1991 Dutton Books 276579 4
1031133 006008667X Lily Dale : The True Story of the Town that Ta... Christine Wicker 2004 HarperSanFrancisco 276680 0
1031134 0192126040 Republic (World's Classics) Plato 1996 Oxford University Press 276680 0
1031135 0767409752 A Guided Tour of Rene Descartes' Meditations o... Christopher Biffle 2000 McGraw-Hill Humanities/Social Sciences/Languages 276680 0

1031136 rows × 7 columns

Additionally, before handing my combined Book dataset over for Machine Learning training and prediction, I need to clean the data prior to the analysis stage: removing duplicates, deleting null/NaN vales, fixing types of columns, filling invalid values with suitable alternatives, etc. Fortunately, the data inherited from Kaggle here is in a preferable format already, so there does not need to be extensive amount of data cleaning here.

```{python}
# Figuring out the number of duplicated elements in the dataset (could be 
# problematic if not resolved)
df.duplicated().sum()
```
0
```{python}
# Figuring out the number of 'null'/'NaN' elements in the dataset (if NaN 
# filling is needed or not)
(df.isnull().sum() / df.shape[0]) * 100
```
ISBN                   0.000000
Book-Title             0.000000
Book-Author            0.000194
Year-Of-Publication    0.000000
Publisher              0.000194
User-ID                0.000000
Book-Rating            0.000000
dtype: float64
```{python}
# Fill unknown and unformatted values with proper ones for readability and to
# improve data accuracy and relevance 
df["Book-Author"].fillna("N/A", inplace=True)
df["Publisher"].fillna("N/A", inplace=True)

df["Year-Of-Publication"] = df["Year-Of-Publication"].astype(str)
df["Year-Of-Publication"] = df["Year-Of-Publication"].map(lambda entry: entry if entry.isnumeric() else df["Year-Of-Publication"].mode()[0])
df["Year-Of-Publication"] = df["Year-Of-Publication"].astype("int64")

# Change types of columns to allow an easier time to parse
df["Book-Title"] = df["Book-Title"].astype(str)
df["Book-Author"] = df["Book-Author"].astype(str)
df["ISBN"] = df["ISBN"].astype(str)
df["Publisher"] = df["Publisher"].astype(str)

# Getting basic information about the dataset (once again)
df.info()
```
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 1031136 entries, 0 to 1031135
Data columns (total 7 columns):
 #   Column               Non-Null Count    Dtype 
---  ------               --------------    ----- 
 0   ISBN                 1031136 non-null  object
 1   Book-Title           1031136 non-null  object
 2   Book-Author          1031136 non-null  object
 3   Year-Of-Publication  1031136 non-null  int64 
 4   Publisher            1031136 non-null  object
 5   User-ID              1031136 non-null  int64 
 6   Book-Rating          1031136 non-null  int64 
dtypes: int64(3), object(4)
memory usage: 55.1+ MB

As defined in the code snippet below, with subsequent modifications and copies of the working dataset, there will be a need to quantify the status and real-life/applicable statistics out to you, the user. Thus, I designed a function to report needed information called report_basic_stats. From time to time, there will be calls to this function, giving up-to-date information about the state of the dataset currently modified.

```{python}
def report_basic_stats(dataframe: pd.DataFrame, type: str):
    global n_users, n_books
    n_users = dataframe["User-ID"].unique().shape[0]
    n_books = dataframe["ISBN"].unique().shape[0]
    n_ratings = len(dataframe["Book-Rating"])
    avg_num_ratings_per_user = n_ratings / n_users
    
    print("Number of Unique Book Users in This Dataset ({}):".format(type), n_users)
    print("Number of Unique Book Titles / ISBNs in This Dataset ({}):".format(type), n_books)
    print("Number of Total Ratings in This Dataset ({}):".format(type), n_ratings)
    print("Average Number of Book Ratings per User in This Dataset ({}):".format(type), round(avg_num_ratings_per_user, 3))
```

Alright, let’s begin by looking at the up-to-date information about the state of the original dataset using the report_basic_stats function:

```{python}
report_basic_stats(df, "Regular")
```
Number of Unique Book Users in This Dataset (Regular): 92106
Number of Unique Book Titles / ISBNs in This Dataset (Regular): 270151
Number of Total Ratings in This Dataset (Regular): 1031136
Average Number of Book Ratings per User in This Dataset (Regular): 11.195

At this point, the data has been cleaned. However, there are some modifications that I have considered in this case such as limiting the amount of Book-ISBNs and Book-Users displayed (up to 3000 in this case). This is intentional to keep the dataset from becoming too long to visualize and compute within the Machine Learning model.

```{python}
# Filter the first 3000 Book-ISBNs in Dataset
book_isbn_index = df.groupby("ISBN").count().sort_values(by="Book-Rating", ascending=False)[0:3000].index
df2 = df[df["ISBN"].isin(book_isbn_index)]
df2.count()
```
ISBN                   271456
Book-Title             271456
Book-Author            271456
Year-Of-Publication    271456
Publisher              271456
User-ID                271456
Book-Rating            271456
dtype: int64
```{python}
# Filter the first 3000 Book-Users in Dataset
book_users_index = df2.groupby("User-ID").count().sort_values(by="Book-Rating", ascending=False)[0:3000].index
df3 = df2[df2["User-ID"].isin(book_users_index)]
df3.count()
```
ISBN                   172071
Book-Title             172071
Book-Author            172071
Year-Of-Publication    172071
Publisher              172071
User-ID                172071
Book-Rating            172071
dtype: int64

Since I had to cut down to 3000 Book-entries maximum in the dataset, I had to reindex the unique Book-ISBNs and Book User-IDs to account for this filtering. Thus, I removed all entries that were not part of this subset to maintain data consistency and integrity.

```{python}
# Make a separate dataframe for unique Book-ISBNs
book_isbns = df3["ISBN"].unique()
isbn_df = pd.DataFrame(data=book_isbns, columns=["Original-ISBN"])
isbn_df["New-ISBN"] = isbn_df.index + 1
```
```{python}
# Make a separate dataframe for unique Book-Users (indicated by their IDs)
book_users = df3["User-ID"].unique()
users_df = pd.DataFrame(data=book_users, columns=["Original-User-ID"])
users_df["New-User-ID"] = users_df.index + 1
```
```{python}
# Merge in new indices for Book-ISBN and Book-User-IDs that are modified
# from 1 to 3000 (accounts for scaling down of data)
cleaned_df = df3.merge(isbn_df, left_on="ISBN", right_on="Original-ISBN")
cleaned_df.drop(columns=["Original-ISBN"], axis=1, inplace=True)

cleaned_df = cleaned_df.merge(users_df, left_on="User-ID", right_on="Original-User-ID")
cleaned_df.drop(columns=["Original-User-ID"], axis=1, inplace=True)
cleaned_df
```
ISBN Book-Title Book-Author Year-Of-Publication Publisher User-ID Book-Rating New-ISBN New-User-ID
0 0440234743 The Testament John Grisham 1999 Dell 277478 0 1 1
1 0971880107 Wild Animus Rich Shapero 2004 Too Far 277478 0 3 1
2 0671888587 I'll Be Seeing You Mary Higgins Clark 1994 Pocket 277478 0 9 1
3 0440225701 The Street Lawyer JOHN GRISHAM 1999 Dell 277478 0 15 1
4 0786868716 The Five People You Meet in Heaven Mitch Albom 2003 Hyperion 277478 0 30 1
... ... ... ... ... ... ... ... ... ...
172066 0767908171 A Short History of Nearly Everything Bill Bryson 2003 Broadway 70999 0 2798 3000
172067 0385234104 Fatherhood Bill Cosby 1986 Bantam Dell Pub Group 70999 0 2857 3000
172068 0425190641 Fire Ice: A Novel from the Numa Files (Kurt Au... Clive Cussler 2003 Berkley Publishing Group 70999 0 2874 3000
172069 0553584375 No One to Trust IRIS JOHANSEN 2003 Bantam 70999 0 2880 3000
172070 044023512X City of Light Lauren Belfer 2000 Island 70999 0 2941 3000

172071 rows × 9 columns

Here, I am trying to offer some visualizations of the cleaned dataset before we pass it over for Machine Learning training and prediction. The first visualization (below) describes about the total number of reviews given to each of the 3000 books in the dataset. Arbitrarily though, I set a maximum of 30 book titles visualized to save space as my editor could not plot more than that without it become illegible. The strategy there was grouping by Book-Titles and and counting number of Book-Rating entries for that particular Book entry.

```{python}
# Make a copy of the cleaned dataframe
cleaned_df_condensed_trends = cleaned_df.copy()

# Drop unnecessary columns
cleaned_df_condensed_trends.drop(labels=["ISBN", 
                                         "Book-Author",
                                         "Year-Of-Publication",
                                         "Publisher",
                                         "User-ID",
                                         "New-ISBN",
                                         "New-User-ID"], axis=1, inplace=True)

# Used grouping and counting to gather book-review counts for each indexed title
cleaned_df_condensed_trends_copy = cleaned_df_condensed_trends.copy()
cleaned_df_condensed_trends = pd.DataFrame(cleaned_df_condensed_trends_copy
                                           .groupby("Book-Title")["Book-Rating"]
                                           .mean())
cleaned_df_condensed_trends["Total-Num-Of-Ratings"] = pd.DataFrame(cleaned_df_condensed_trends_copy
                                                                   .groupby("Book-Title")["Book-Rating"]
                                                                   .count())
cleaned_df_condensed_trends.head(10)
```
Book-Rating Total-Num-Of-Ratings
Book-Title
10 Lb. Penalty 1.911765 34
16 Lighthouse Road 1.276596 47
1984 3.817460 126
1st to Die: A Novel 2.893891 311
2010: Odyssey Two 2.086207 58
204 Rosewood Lane 1.581818 55
2061: Odyssey Three 3.133333 30
24 Hours 1.454545 44
2nd Chance 2.704167 240
311 Pelican Court 2.435897 39 
```{python}
# Creating a bar graph describing number of reviews for first 30 books
plt.figure(figsize=(10, 8))
ax=plt.subplot()
ax.bar(cleaned_df_condensed_trends.head(30).index,
       cleaned_df_condensed_trends["Total-Num-Of-Ratings"].head(30), 
       color="b")
ax.set_xticklabels(cleaned_df_condensed_trends.index,
                   rotation=30,
                   fontsize="12",
                   horizontalalignment="right")
ax.set_title("Total Number of Reviews For Each Book")
plt.show()
```
C:\Users\andre\AppData\Local\Temp\ipykernel_12436\177655821.py:7: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.
  ax.set_xticklabels(cleaned_df_condensed_trends.index,

Just to give an interesting statistic, I decided to make another copy of the working dataset, grouped by Book-Title but sorted by Book-Rating. This was intentional to output and report the most-popular (Top-50 rated books) and least-populat (Bottom-50 rated books) on average, which is an important piece of data for the user to know.

```{python}
# Calculate mean rating of all books (copy of cleaned dataframe)
# Output the Top-50 and Bottom-50 rated books on average
cleaned_df_sorted_mean_rating = cleaned_df.copy().groupby("Book-Title")["Book-Rating"].mean().sort_values(ascending=False)
print("--------- Sorted by Mean On Average: ---------\n")
print("--------- TOP 50: ---------\n", cleaned_df_sorted_mean_rating.head(50))
print("\n\n--------- BOTTOM 50: ---------\n", cleaned_df_sorted_mean_rating.tail(50))
```
--------- Sorted by Mean On Average: ---------

--------- TOP 50: ---------
 Book-Title
Generation Golf. Eine Inspektion                                                                          9.000000
Novocento, Un Monologo                                                                                    9.000000
Io Non Ho Paura                                                                                           8.000000
Herr Lehmann.                                                                                             7.500000
L'Etranger (Collection Folio, 2)                                                                          6.777778
Griffin &amp; Sabine: An Extraordinary Correspondence                                                     6.000000
The Darwin Awards: Evolution in Action                                                                    5.653846
Harry Potter and the Sorcerer's Stone (Book 1)                                                            5.651613
My Sister's Keeper : A Novel (Picoult, Jodi)                                                              5.515152
Harry Potter and the Prisoner of Azkaban (Book 3)                                                         5.465116
Harry Potter and the Goblet of Fire (Book 4)                                                              5.445415
The Stand (The Complete and Uncut Edition)                                                                5.433333
Balzac and the Little Chinese Seamstress                                                                  5.379310
Harry Potter and the Chamber of Secrets Postcard Book                                                     5.363636
The Lone Ranger and Tonto Fistfight in Heaven                                                             5.333333
Harry Potter and the Order of the Phoenix (Book 5)                                                        5.277228
Hamlet                                                                                                    5.241379
The Lunatic Cafe (Anita Blake Vampire Hunter (Paperback))                                                 5.230769
The Little Prince                                                                                         5.210526
Wiener Dog Art                                                                                            5.157895
Weirdos From Another Planet!                                                                              5.147059
Killing Dance (Anita Blake Vampire Hunter (Paperback))                                                    5.142857
The Secret Garden                                                                                         5.133333
Wicca: A Guide for the Solitary Practitioner                                                              5.120000
Sabine's Notebook: In Which the Extraordinary Correspondence of Griffin &amp; Sabine Continues            5.105263
The Metamorphosis (Bantam Classics)                                                                       5.062500
The Grapes of Wrath (20th Century Classics)                                                               5.031250
The Lion, the Witch, and the Wardrobe (The Chronicles of Narnia, Book 2)                                  4.978723
Green Eggs and Ham (I Can Read It All by Myself Beginner Books)                                           4.931034
Harry Potter and the Chamber of Secrets (Book 2)                                                          4.924092
The Cat in the Hat                                                                                        4.903226
GREAT GATSBY (REISSUE)                                                                                    4.800000
Ender's Game (Ender Wiggins Saga (Paperback))                                                             4.793478
The Vagina Monologues: The V-Day Edition                                                                  4.793103
The Godfather                                                                                             4.783784
All I Need to Know I Learned from My Cat                                                                  4.769231
Hyperion                                                                                                  4.764706
Sister of My Heart                                                                                        4.743590
Sense and Sensibility (Penguin Popular Classics)                                                          4.733333
On the Banks of Plum Creek                                                                                4.718750
Rich Dad, Poor Dad: What the Rich Teach Their Kids About Money--That the Poor and Middle Class Do Not!    4.717949
The Lord of the Rings (Movie Art Cover)                                                                   4.714286
Needful Things: The Last Castle Rock Story                                                                4.681818
The Jungle (Bantam Classics)                                                                              4.652174
Memoirs of a Geisha                                                                                       4.638298
Pride &amp; Prejudice (Wordsworth Classics)                                                               4.631579
The Spirit Catches You and You Fall Down                                                                  4.600000
Anthem                                                                                                    4.590909
JITTERBUG PERFUME                                                                                         4.571429
The Curious Incident of the Dog in the Night-Time (Vintage Contemporaries)                                4.571429
Name: Book-Rating, dtype: float64


--------- BOTTOM 50: ---------
 Book-Title
Silent Honor                                                                                                               0.735294
Vernon God Little: A 21st Century Comedy in the Presence of Death                                                          0.727273
Ruthless.Com (Tom Clancy's Power Plays (Paperback))                                                                        0.725806
The Blooding                                                                                                               0.722222
Where You Belong                                                                                                           0.720930
The Matarese Countdown                                                                                                     0.717949
Pleading Guilty                                                                                                            0.716049
Family Pictures                                                                                                            0.714286
Fortune's Hand                                                                                                             0.708333
Passion's Promise                                                                                                          0.705882
Ssn                                                                                                                        0.700000
The Icarus Agenda                                                                                                          0.700000
Legacy of Silence                                                                                                          0.696970
Confessions of a Sociopathic Social Climber : The Katya Livingston Chronicles (Katya Livingston Chronicles (Hardcover))    0.695652
The Blue Last: A Richard Jury Mystery (Richard Jury Mysteries (Paperback))                                                 0.695652
Subterranean                                                                                                               0.695652
The Legend of Bagger Vance                                                                                                 0.692308
State of Siege (Tom Clancy's Op-Center, 6)                                                                                 0.680851
Man From St Petersburg                                                                                                     0.659091
Master of the Game                                                                                                         0.658537
Rosehaven                                                                                                                  0.656250
The X-Files: Goblins                                                                                                       0.640000
Welcome to Dead House (Goosebumps, No 1)                                                                                   0.638889
Ground Zero and Beyond                                                                                                     0.629032
Los Alamos: A Novel                                                                                                        0.620690
Treasures                                                                                                                  0.617647
Whirlwind                                                                                                                  0.606061
If Tomorrow Comes                                                                                                          0.605263
WEB OF DREAMS (Casteel Saga (Paperback))                                                                                   0.604651
Starting Over                                                                                                              0.600000
Hurricane Bay                                                                                                              0.600000
Montana                                                                                                                    0.595238
Wild Animus                                                                                                                0.582865
People of the River (The First North Americans series, Book 4)                                                             0.571429
Honor Among Thieves                                                                                                        0.568182
The Cat Who Went into the Closet                                                                                           0.566038
After the Fire                                                                                                             0.564103
Yesterday                                                                                                                  0.531250
Monster Blood (Goosebumps, No 3)                                                                                           0.466667
Women in His Life                                                                                                          0.452381
Long, Lean, and Lethal                                                                                                     0.451613
Dating Game                                                                                                                0.400000
Billy Straight: A Novel                                                                                                    0.375000
McNally's Luck (Archy McNally Novels (Paperback))                                                                          0.365854
Final Flight                                                                                                               0.333333
Stay Out of the Basement (Goosebumps, No 2)                                                                                0.285714
Say Cheese and Die! (Goosebumps, No 4)                                                                                     0.275862
Long Time No See                                                                                                           0.161290
The Sculptress                                                                                                             0.000000
Der Vorleser                                                                                                               0.000000
Name: Book-Rating, dtype: float64

The second visualization gathers all of the numerical book-ratings across all books, contrasting how book reviewers score and evaluate these literature text sources generally. With this ranged data, it would seem most appropriate to display this visualization of statistical data within a histogram.

```{python}
sns.histplot(pd.DataFrame(cleaned_df_sorted_mean_rating)["Book-Rating"], color="r")
plt.title("Histogram - Distribution of Book-Ratings Across All Books in the Dataset")
plt.show()
```

As compared to earlier, let’s look at the up-to-date information about the state of the reduced (in-size) dataset using the report_basic_stats function.

```{python}
report_basic_stats(cleaned_df, "Reduced")
```
Number of Unique Book Users in This Dataset (Reduced): 3000
Number of Unique Book Titles / ISBNs in This Dataset (Reduced): 3000
Number of Total Ratings in This Dataset (Reduced): 172071
Average Number of Book Ratings per User in This Dataset (Reduced): 57.357

Machine Learning - Model Training and Evaluation

Great, now we are onto the Machine Learning part of the blog post!

Since the dataframe is now properly cleaned by this point, I had split the respective dataframe into the train, test, and validation datasets for the Machine Learning model with 90% going to the training dataset, the next 5% going to the validation dataset, and the last 5% going to the test dataset. Fortunately, because order of the data sequentially does not matter here, I was able to utilize the train_test_split function for shuffling and randomization, making the future-generated Machine Learning model more unpredictable but also more objective in its returned model results.

```{python}
# Configuring the Machine Learning Tensorflow Model by splitting the data 90% for testing,
# 5% for validation, and 5% for testing
X_train, X_test = train_test_split(cleaned_df, test_size=0.10, shuffle=True, random_state=2018)
X_val, X_test = train_test_split(X_test, test_size=0.50, shuffle=True, random_state=2018)
```
```{python}
# Outputting the shape of the new datasets
print("Shape of Training Set:", X_train.shape, "and Size of Training Set:", X_train.size)
print("Shape of Validation Set:", X_val.shape, "and Size of Validation Set:", X_val.size)
print("Shape of Test Set:", X_test.shape, "and Size of Testing Set:", X_test.size)
```
Shape of Training Set: (154863, 9) and Size of Training Set: 1393767
Shape of Validation Set: (8604, 9) and Size of Validation Set: 77436
Shape of Test Set: (8604, 9) and Size of Testing Set: 77436

As recommended online for any Collaborative-Filtering Recommendation Systems, one suggestion was to manually check and compute the mean_squared_error for ratings in your dataset. Thus, I defined a cost function that utilizes a sparse np.array starting with all 0’s of dimension-size n_users x n_books. The entries at specified locations would be converted non-zero by utilizing every Book-ISBN and Book User-ID position to generate a computed rating. The objective with calculating the mean_squared_error is to check how close estimates are to actual, observed values found within the given dataset.

```{python}
# Define my cost function (mean-squared error) for each dataset before the
# invokation of the Machine Learning algorithm
df_ratings_train = np.zeros((n_users, n_books))
for r in X_train.itertuples():
    df_ratings_train[r[9] - 1, r[8] - 1] = r[7]
print(df_ratings_train.shape)
df_ratings_train
```
(3000, 3000)
array([[0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       ...,
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.]])
```{python}
df_ratings_validation = np.zeros((n_users, n_books))
for r in X_val.itertuples():
    df_ratings_validation[r[9] - 1, r[8] - 1] = r[7]
print(df_ratings_validation.shape)
df_ratings_validation
```
(3000, 3000)
array([[0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       ...,
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.]])
```{python}
df_ratings_test = np.zeros((n_users, n_books))
for r in X_test.itertuples():
    df_ratings_test[r[9] - 1, r[8] - 1] = r[7]
print(df_ratings_test.shape)
df_ratings_test
```
(3000, 3000)
array([[0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       ...,
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.]])

After the dataframes had the cost function computed for all, I made 2 matrices - one for the book user-similiarity and one for the book item-similarity. The idea here is to account for relative difference in the ratings between several distinct Book-Users and Book-ISBNs (items) themselves. Statically proven, relative differences in ratings give more insight than the absolute rating values. As described on the CambridgeSpark reference below, the rating system could be skewed by human biases such as solid consistent ratings for good vs. bad books through cover inspection, ratings based on topic preference or thoughts on the user’s views rather than objective review, etc.

Note that in the user-based similarity predictions that ratings as weights need to be normalized, so summation and average on top of a dot-product calcuation on the matrix is needed. This is to make sure the ratings stay within the expected range of 1.0 (worst) to 10.0 (best).

At the end of the code cell below, a comparison on the prediction matrices with the df_ratings_test matrix using dimensionality reduction and the mean_squared_error function the sklearn.metrics module is computed to quantify the closeness of estimates to the actual dataset (as described previously).

```{python}
# Computes the cosine similarity between all books using pairwise distancing
book_user_similarity = pairwise_distances(df_ratings_train, metric="cosine")
book_item_similarity = pairwise_distances(df_ratings_train.T, metric="cosine")

# Calculates prediction ratio for book_users and book_items
def perform_prediction_similarity_based(ratings, similiarity, pred_type="user"):
    if pred_type == "user":
        mean_user_rating = ratings.mean(axis=1)
        # You use np.newaxis so that the user_rating has the same format as ratings
        ratings_diff = (ratings - mean_user_rating[: np.newaxis])
        pred = mean_user_rating[: np.newaxis] + (similiarity.dot(ratings_diff) / np.array([np.abs(similiarity).sum(axis=1)]))
    elif pred_type == "item":
        pred = ratings.dot(similiarity) / np.array([np.abs(similiarity).sum(axis=1)])
    return pred

book_user_prediction = perform_prediction_similarity_based(df_ratings_train, book_user_similarity, pred_type="user")
book_item_prediction = perform_prediction_similarity_based(df_ratings_train, book_item_similarity, pred_type="item")

# Using predictions, calculates the mean squared error for each book_user and
# book_item
def compute_mean_square_error(predicted, actual):
    predicted = predicted[actual.nonzero()].flatten()
    actual = actual[actual.nonzero()].flatten()
    return mean_squared_error(predicted, actual)

print("For Collaborative Filtering:")
print(f"Book User-Based Mean-Square-Error: {compute_mean_square_error(book_user_prediction, df_ratings_test)}")
print(f"Book Item-Based Mean-Square-Error: {compute_mean_square_error(book_item_prediction, df_ratings_test)}")
```
For Collaborative Filtering:
Book User-Based Mean-Square-Error: 63.272539998623145
Book Item-Based Mean-Square-Error: 62.53832448961992

One other calculation that is beneficial to check with regards to these matrices includes matrix sparsity. With a less sparse matrix (through a lower-percentage return), I found that it was more beneficial to more efficient to use dense Machine Learning representations and algorithms optimized for dense data, which will done later while creating the Sequential layering of the model. After performing the calculations below, this seemed to be the case I was dealing with here.

```{python}
# Outputs the sparsity stats of a given dataframe
def print_sparsity_stats(df: pd.DataFrame, type: str):
    print("-------------- Sparsity Stats for {}: --------------".format(type))
    df_sparsity = float(len(df.nonzero()[0]))
    df_sparsity /= (df.shape[0] * df.shape[1])
    df_sparsity *= 100
    print('Sparsity: {:4.2f}%'.format(df_sparsity))
```
```{python}
# Check the sparsity stats of the ratings' train, validation, and test np.arrays
print_sparsity_stats(df_ratings_train, "Train")
print_sparsity_stats(df_ratings_validation, "Validation")
print_sparsity_stats(df_ratings_test, "Test")
```
-------------- Sparsity Stats for Train: --------------
Sparsity: 0.53%
-------------- Sparsity Stats for Validation: --------------
Sparsity: 0.03%
-------------- Sparsity Stats for Test: --------------
Sparsity: 0.03%

Now, I began to configure the Machine Learning model. We added Sequential layers of Input: incorporated an Input layer 1 by 1 because I only had 1 np.array as Input for Book-Users and another one as Input for Book-Items themselves, utilize a Embedding as recommended for each of the Input layers for models like these, and I followed up with flattening for dimensionality-reduction of both embeddings with input. Combining it with the dot-product of the two vector embeddings with input to make the initial model, we compiled it, utilzing the mean_square_error as our minimizing loss function, using the Adam optimizer, and comparing our trained model against our data with the mean_absolute_error metric. Lastly, I fitted our model, utilzing both of our X_train datasets and the Y_train dataset for fitting with validation from both of our X_val datasets and the Y_val dataset at 100 epochs.

```{python}
# Apply the Input, Embeddings, and Dot Product on the Model
n_latent_fact = 1
user_input = Input(shape=[1], name="User")
user_embedding = Embedding(input_dim=n_users + 1, 
                           output_dim=n_latent_fact, 
                           name="User_Embedding")(user_input)
user_vec = Flatten(name="Flatten_Users")(user_embedding)
book_input = Input(shape=[1], name="Book")
book_embedding = Embedding(input_dim=n_books + 1, 
                           output_dim=n_latent_fact, 
                           name="Book_Embedding")(book_input)
book_vec = Flatten(name="Flatten_Movies")(book_embedding)
dot_product = dot([book_vec, user_vec], axes=1)
model = Model(inputs=[user_input, book_input], outputs=dot_product)

# Compile the model and fit the datasets to it
model.compile(loss="mse",
              optimizer=Adam(learning_rate=0.001),
              metrics=["mean_absolute_error"])

book_rec_history = model.fit(x=(X_train["New-User-ID"], X_train["New-ISBN"]), 
                             y=X_train["Book-Rating"],
                             epochs=100,
                             validation_data=([X_val["New-User-ID"], X_val["New-ISBN"]], X_val["Book-Rating"]),
                             use_multiprocessing=True)
```
Epoch 1/100
   1/4840 [..............................] - ETA: 28:20 - loss: 21.2792 - mean_absolute_error: 2.7815  51/4840 [..............................] - ETA: 4s - loss: 18.6307 - mean_absolute_error: 2.2499    109/4840 [..............................] - ETA: 4s - loss: 19.2007 - mean_absolute_error: 2.3187 168/4840 [>.............................] - ETA: 4s - loss: 19.7092 - mean_absolute_error: 2.3773 227/4840 [>.............................] - ETA: 4s - loss: 20.0559 - mean_absolute_error: 2.4134 287/4840 [>.............................] - ETA: 4s - loss: 19.8452 - mean_absolute_error: 2.3902 346/4840 [=>............................] - ETA: 3s - loss: 19.6836 - mean_absolute_error: 2.3712 405/4840 [=>............................] - ETA: 3s - loss: 19.6662 - mean_absolute_error: 2.3700 464/4840 [=>............................] - ETA: 3s - loss: 19.7574 - mean_absolute_error: 2.3825 523/4840 [==>...........................] - ETA: 3s - loss: 19.7519 - mean_absolute_error: 2.3830 584/4840 [==>...........................] - 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mean_absolute_error: 2.42992447/4840 [==============>...............] - ETA: 2s - loss: 20.0838 - mean_absolute_error: 2.43032506/4840 [==============>...............] - ETA: 2s - loss: 20.0639 - mean_absolute_error: 2.42802564/4840 [==============>...............] - ETA: 1s - loss: 20.0729 - mean_absolute_error: 2.42822623/4840 [===============>..............] - ETA: 1s - loss: 20.0674 - mean_absolute_error: 2.42732682/4840 [===============>..............] - ETA: 1s - loss: 20.0229 - mean_absolute_error: 2.42202741/4840 [===============>..............] - ETA: 1s - loss: 20.0165 - mean_absolute_error: 2.42102798/4840 [================>.............] - ETA: 1s - loss: 20.0118 - mean_absolute_error: 2.42062856/4840 [================>.............] - ETA: 1s - loss: 19.9982 - mean_absolute_error: 2.41892915/4840 [=================>............] - ETA: 1s - loss: 20.0091 - mean_absolute_error: 2.42002974/4840 [=================>............] - ETA: 1s - loss: 19.9920 - mean_absolute_error: 2.41833031/4840 [=================>............] - 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mean_absolute_error: 2.41413668/4840 [=====================>........] - ETA: 1s - loss: 19.9635 - mean_absolute_error: 2.41533727/4840 [======================>.......] - ETA: 0s - loss: 19.9655 - mean_absolute_error: 2.41593787/4840 [======================>.......] - ETA: 0s - loss: 19.9755 - mean_absolute_error: 2.41713845/4840 [======================>.......] - ETA: 0s - loss: 19.9983 - mean_absolute_error: 2.42013904/4840 [=======================>......] - ETA: 0s - loss: 20.0084 - mean_absolute_error: 2.42153962/4840 [=======================>......] - ETA: 0s - loss: 19.9948 - mean_absolute_error: 2.42004018/4840 [=======================>......] - ETA: 0s - loss: 19.9907 - mean_absolute_error: 2.41954076/4840 [========================>.....] - ETA: 0s - loss: 19.9909 - mean_absolute_error: 2.41974134/4840 [========================>.....] - ETA: 0s - loss: 19.9871 - mean_absolute_error: 2.41924190/4840 [========================>.....] - ETA: 0s - loss: 19.9957 - mean_absolute_error: 2.42074249/4840 [=========================>....] - 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mean_absolute_error: 2.42064840/4840 [==============================] - 5s 927us/step - loss: 19.9732 - mean_absolute_error: 2.4203 - val_loss: 19.7435 - val_mean_absolute_error: 2.3995
Epoch 2/100
   1/4840 [..............................] - ETA: 4s - loss: 25.3221 - mean_absolute_error: 3.0301  59/4840 [..............................] - ETA: 4s - loss: 18.7727 - mean_absolute_error: 2.3177 118/4840 [..............................] - ETA: 4s - loss: 19.0933 - mean_absolute_error: 2.3403 173/4840 [>.............................] - ETA: 4s - loss: 19.1918 - mean_absolute_error: 2.3431 233/4840 [>.............................] - ETA: 3s - loss: 18.9587 - mean_absolute_error: 2.3149 293/4840 [>.............................] - ETA: 3s - loss: 19.2652 - mean_absolute_error: 2.3507 352/4840 [=>............................] - ETA: 3s - loss: 19.4687 - mean_absolute_error: 2.3734 411/4840 [=>............................] - ETA: 3s - loss: 19.4850 - mean_absolute_error: 2.3741 470/4840 [=>............................] - ETA: 3s - loss: 19.5701 - mean_absolute_error: 2.3868 529/4840 [==>...........................] - ETA: 3s - loss: 19.5301 - mean_absolute_error: 2.3817 587/4840 [==>...........................] - ETA: 3s - loss: 19.6175 - mean_absolute_error: 2.3890 646/4840 [===>..........................] - ETA: 3s - loss: 19.5451 - mean_absolute_error: 2.3799 705/4840 [===>..........................] - ETA: 3s - loss: 19.5338 - mean_absolute_error: 2.3781 764/4840 [===>..........................] - ETA: 3s - loss: 19.5426 - mean_absolute_error: 2.3813 823/4840 [====>.........................] - ETA: 3s - loss: 19.5066 - mean_absolute_error: 2.3763 880/4840 [====>.........................] - ETA: 3s - loss: 19.4781 - mean_absolute_error: 2.3728 937/4840 [====>.........................] - ETA: 3s - loss: 19.4401 - mean_absolute_error: 2.3695 996/4840 [=====>........................] - ETA: 3s - loss: 19.4186 - mean_absolute_error: 2.36691055/4840 [=====>........................] - ETA: 3s - loss: 19.4448 - mean_absolute_error: 2.36951114/4840 [=====>........................] - ETA: 3s - loss: 19.5233 - mean_absolute_error: 2.37901171/4840 [======>.......................] - ETA: 3s - loss: 19.4344 - 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mean_absolute_error: 2.43164694/4840 [============================>.] - ETA: 0s - loss: 19.5999 - mean_absolute_error: 2.43264745/4840 [============================>.] - ETA: 0s - loss: 19.5896 - mean_absolute_error: 2.43264796/4840 [============================>.] - ETA: 0s - loss: 19.5893 - mean_absolute_error: 2.43344840/4840 [==============================] - 5s 953us/step - loss: 19.5872 - mean_absolute_error: 2.4340 - val_loss: 18.9650 - val_mean_absolute_error: 2.4315
Epoch 3/100
   1/4840 [..............................] - ETA: 14s - loss: 20.8031 - mean_absolute_error: 2.5787  55/4840 [..............................] - ETA: 4s - loss: 19.8899 - mean_absolute_error: 2.5655  112/4840 [..............................] - ETA: 4s - loss: 19.7981 - mean_absolute_error: 2.5528 168/4840 [>.............................] - ETA: 4s - loss: 19.3403 - mean_absolute_error: 2.4989 222/4840 [>.............................] - ETA: 4s - loss: 19.1075 - mean_absolute_error: 2.4744 277/4840 [>.............................] - ETA: 4s - loss: 19.3801 - mean_absolute_error: 2.5031 334/4840 [=>............................] - ETA: 4s - loss: 19.3462 - mean_absolute_error: 2.4969 391/4840 [=>............................] - ETA: 4s - loss: 19.3326 - mean_absolute_error: 2.4941 436/4840 [=>............................] - ETA: 4s - loss: 19.1969 - mean_absolute_error: 2.4782 486/4840 [==>...........................] - ETA: 4s - loss: 19.2487 - mean_absolute_error: 2.4823 545/4840 [==>...........................] - 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mean_absolute_error: 2.47564193/4840 [========================>.....] - ETA: 0s - loss: 18.5892 - mean_absolute_error: 2.47524242/4840 [=========================>....] - ETA: 0s - loss: 18.5784 - mean_absolute_error: 2.47494291/4840 [=========================>....] - ETA: 0s - loss: 18.5548 - mean_absolute_error: 2.47384335/4840 [=========================>....] - ETA: 0s - loss: 18.5390 - mean_absolute_error: 2.47314383/4840 [==========================>...] - ETA: 0s - loss: 18.5435 - mean_absolute_error: 2.47464437/4840 [==========================>...] - ETA: 0s - loss: 18.5354 - mean_absolute_error: 2.47504483/4840 [==========================>...] - ETA: 0s - loss: 18.5252 - mean_absolute_error: 2.47494538/4840 [===========================>..] - ETA: 0s - loss: 18.5191 - mean_absolute_error: 2.47534591/4840 [===========================>..] - ETA: 0s - loss: 18.5135 - mean_absolute_error: 2.47584643/4840 [===========================>..] - ETA: 0s - loss: 18.5072 - mean_absolute_error: 2.47624697/4840 [============================>.] - ETA: 0s - loss: 18.5094 - mean_absolute_error: 2.47734751/4840 [============================>.] - ETA: 0s - loss: 18.5075 - mean_absolute_error: 2.47804805/4840 [============================>.] - ETA: 0s - loss: 18.4802 - mean_absolute_error: 2.47604840/4840 [==============================] - 5s 1ms/step - loss: 18.4734 - mean_absolute_error: 2.4758 - val_loss: 17.7049 - val_mean_absolute_error: 2.4863
Epoch 4/100
   1/4840 [..............................] - ETA: 9s - loss: 10.9581 - mean_absolute_error: 1.6450  59/4840 [..............................] - ETA: 4s - loss: 18.0275 - mean_absolute_error: 2.5281 114/4840 [..............................] - ETA: 4s - loss: 17.8970 - mean_absolute_error: 2.5102 169/4840 [>.............................] - ETA: 4s - loss: 17.9942 - mean_absolute_error: 2.5266 226/4840 [>.............................] - ETA: 4s - loss: 18.1764 - mean_absolute_error: 2.5485 282/4840 [>.............................] - ETA: 4s - loss: 18.1386 - mean_absolute_error: 2.5460 339/4840 [=>............................] - ETA: 4s - loss: 18.1605 - mean_absolute_error: 2.5476 396/4840 [=>............................] - ETA: 3s - loss: 18.0224 - mean_absolute_error: 2.5325 453/4840 [=>............................] - ETA: 3s - loss: 17.9058 - mean_absolute_error: 2.5188 507/4840 [==>...........................] - ETA: 3s - loss: 17.9878 - mean_absolute_error: 2.5280 564/4840 [==>...........................] - 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ETA: 2s - loss: 17.7325 - mean_absolute_error: 2.53161815/4840 [==========>...................] - ETA: 2s - loss: 17.7064 - mean_absolute_error: 2.52981871/4840 [==========>...................] - ETA: 2s - loss: 17.6530 - mean_absolute_error: 2.52471930/4840 [==========>...................] - ETA: 2s - loss: 17.6102 - mean_absolute_error: 2.52121988/4840 [===========>..................] - ETA: 2s - loss: 17.6070 - mean_absolute_error: 2.52102037/4840 [===========>..................] - ETA: 2s - loss: 17.6177 - mean_absolute_error: 2.52272092/4840 [===========>..................] - ETA: 2s - loss: 17.6330 - mean_absolute_error: 2.52642151/4840 [============>.................] - ETA: 2s - loss: 17.6061 - mean_absolute_error: 2.52452208/4840 [============>.................] - ETA: 2s - loss: 17.6080 - mean_absolute_error: 2.52572266/4840 [=============>................] - ETA: 2s - loss: 17.5903 - mean_absolute_error: 2.52512324/4840 [=============>................] - ETA: 2s - loss: 17.5631 - 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mean_absolute_error: 2.52324738/4840 [============================>.] - ETA: 0s - loss: 17.1196 - mean_absolute_error: 2.52414796/4840 [============================>.] - ETA: 0s - loss: 17.1103 - mean_absolute_error: 2.52424840/4840 [==============================] - 5s 934us/step - loss: 17.0994 - mean_absolute_error: 2.5240 - val_loss: 16.4397 - val_mean_absolute_error: 2.5407
Epoch 5/100
   1/4840 [..............................] - ETA: 4s - loss: 16.4020 - mean_absolute_error: 2.4790  60/4840 [..............................] - ETA: 4s - loss: 16.7727 - mean_absolute_error: 2.5927 119/4840 [..............................] - ETA: 4s - loss: 16.7824 - mean_absolute_error: 2.5993 178/4840 [>.............................] - ETA: 4s - loss: 16.5488 - mean_absolute_error: 2.5686 238/4840 [>.............................] - ETA: 3s - loss: 16.5222 - mean_absolute_error: 2.5623 294/4840 [>.............................] - ETA: 3s - loss: 16.5629 - mean_absolute_error: 2.5678 353/4840 [=>............................] - ETA: 3s - loss: 16.4799 - mean_absolute_error: 2.5603 412/4840 [=>............................] - ETA: 3s - loss: 16.3719 - mean_absolute_error: 2.5472 471/4840 [=>............................] - ETA: 3s - loss: 16.3476 - mean_absolute_error: 2.5457 530/4840 [==>...........................] - ETA: 3s - loss: 16.4253 - mean_absolute_error: 2.5582 589/4840 [==>...........................] - 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mean_absolute_error: 2.56034840/4840 [==============================] - 4s 918us/step - loss: 15.8036 - mean_absolute_error: 2.5614 - val_loss: 15.3626 - val_mean_absolute_error: 2.5840
Epoch 6/100
   1/4840 [..............................] - ETA: 4s - loss: 11.7169 - mean_absolute_error: 2.1905  59/4840 [..............................] - ETA: 4s - loss: 15.5985 - mean_absolute_error: 2.6462 117/4840 [..............................] - ETA: 4s - loss: 15.5376 - mean_absolute_error: 2.6170 176/4840 [>.............................] - ETA: 4s - loss: 15.2099 - mean_absolute_error: 2.5805 234/4840 [>.............................] - ETA: 3s - loss: 15.0545 - mean_absolute_error: 2.5580 293/4840 [>.............................] - ETA: 3s - loss: 15.0417 - mean_absolute_error: 2.5579 351/4840 [=>............................] - ETA: 3s - loss: 15.0563 - mean_absolute_error: 2.5599 406/4840 [=>............................] - ETA: 3s - loss: 15.0658 - mean_absolute_error: 2.5584 463/4840 [=>............................] - ETA: 3s - loss: 15.1461 - mean_absolute_error: 2.5681 520/4840 [==>...........................] - ETA: 3s - loss: 15.1241 - mean_absolute_error: 2.5664 576/4840 [==>...........................] - 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mean_absolute_error: 2.58434669/4840 [===========================>..] - ETA: 0s - loss: 14.7200 - mean_absolute_error: 2.58414720/4840 [============================>.] - ETA: 0s - loss: 14.7223 - mean_absolute_error: 2.58504769/4840 [============================>.] - ETA: 0s - loss: 14.7135 - mean_absolute_error: 2.58464815/4840 [============================>.] - ETA: 0s - loss: 14.7052 - mean_absolute_error: 2.58434840/4840 [==============================] - 5s 968us/step - loss: 14.7018 - mean_absolute_error: 2.5842 - val_loss: 14.4922 - val_mean_absolute_error: 2.6131
Epoch 7/100
   1/4840 [..............................] - ETA: 9s - loss: 14.3907 - mean_absolute_error: 2.6720  46/4840 [..............................] - ETA: 5s - loss: 13.6728 - mean_absolute_error: 2.5298 101/4840 [..............................] - ETA: 4s - loss: 13.9363 - mean_absolute_error: 2.5644 156/4840 [..............................] - ETA: 4s - loss: 13.9832 - mean_absolute_error: 2.5625 211/4840 [>.............................] - ETA: 4s - loss: 14.2994 - mean_absolute_error: 2.5997 266/4840 [>.............................] - ETA: 4s - loss: 14.2058 - mean_absolute_error: 2.5883 317/4840 [>.............................] - ETA: 4s - loss: 14.3792 - mean_absolute_error: 2.6064 367/4840 [=>............................] - ETA: 4s - loss: 14.4314 - mean_absolute_error: 2.6130 419/4840 [=>............................] - ETA: 4s - loss: 14.4190 - mean_absolute_error: 2.6126 473/4840 [=>............................] - ETA: 4s - loss: 14.4382 - mean_absolute_error: 2.6160 525/4840 [==>...........................] - ETA: 4s - loss: 14.4114 - mean_absolute_error: 2.6174 579/4840 [==>...........................] - ETA: 4s - loss: 14.3558 - mean_absolute_error: 2.6131 629/4840 [==>...........................] - ETA: 4s - loss: 14.3340 - mean_absolute_error: 2.6124 680/4840 [===>..........................] - ETA: 4s - loss: 14.3662 - mean_absolute_error: 2.6156 729/4840 [===>..........................] - ETA: 3s - loss: 14.3043 - mean_absolute_error: 2.6095 783/4840 [===>..........................] - ETA: 3s - loss: 14.2425 - mean_absolute_error: 2.6036 837/4840 [====>.........................] - ETA: 3s - loss: 14.2009 - mean_absolute_error: 2.6012 894/4840 [====>.........................] - ETA: 3s - loss: 14.1947 - mean_absolute_error: 2.6018 949/4840 [====>.........................] - ETA: 3s - loss: 14.1942 - mean_absolute_error: 2.60311004/4840 [=====>........................] - ETA: 3s - loss: 14.1556 - mean_absolute_error: 2.59861059/4840 [=====>........................] - ETA: 3s - loss: 14.1324 - mean_absolute_error: 2.59651115/4840 [=====>........................] - ETA: 3s - loss: 14.1355 - mean_absolute_error: 2.59661170/4840 [======>.......................] - ETA: 3s - loss: 14.1364 - mean_absolute_error: 2.59641227/4840 [======>.......................] - ETA: 3s - loss: 14.1135 - mean_absolute_error: 2.59431282/4840 [======>.......................] - ETA: 3s - loss: 14.1160 - mean_absolute_error: 2.59571338/4840 [=======>......................] - ETA: 3s - loss: 14.1489 - mean_absolute_error: 2.60131395/4840 [=======>......................] - ETA: 3s - loss: 14.1313 - mean_absolute_error: 2.59901453/4840 [========>.....................] - ETA: 3s - loss: 14.1236 - mean_absolute_error: 2.59841509/4840 [========>.....................] - ETA: 3s - loss: 14.1321 - mean_absolute_error: 2.59991568/4840 [========>.....................] - ETA: 3s - loss: 14.1052 - mean_absolute_error: 2.59781626/4840 [=========>....................] - ETA: 2s - loss: 14.0423 - mean_absolute_error: 2.59081684/4840 [=========>....................] - ETA: 2s - loss: 14.0499 - mean_absolute_error: 2.59131742/4840 [=========>....................] - ETA: 2s - loss: 14.0373 - mean_absolute_error: 2.58991798/4840 [==========>...................] - ETA: 2s - loss: 14.0102 - mean_absolute_error: 2.58841854/4840 [==========>...................] - ETA: 2s - loss: 13.9789 - mean_absolute_error: 2.58501911/4840 [==========>...................] - ETA: 2s - loss: 13.9953 - mean_absolute_error: 2.58731965/4840 [===========>..................] - ETA: 2s - loss: 13.9828 - mean_absolute_error: 2.58652023/4840 [===========>..................] - ETA: 2s - loss: 13.9644 - mean_absolute_error: 2.58502079/4840 [===========>..................] - ETA: 2s - loss: 13.9795 - mean_absolute_error: 2.58642136/4840 [============>.................] - ETA: 2s - loss: 14.0032 - mean_absolute_error: 2.59012194/4840 [============>.................] - ETA: 2s - loss: 13.9919 - mean_absolute_error: 2.58972252/4840 [============>.................] - ETA: 2s - loss: 13.9899 - 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mean_absolute_error: 2.59513431/4840 [====================>.........] - ETA: 1s - loss: 13.9353 - mean_absolute_error: 2.59523486/4840 [====================>.........] - ETA: 1s - loss: 13.9377 - mean_absolute_error: 2.59593539/4840 [====================>.........] - ETA: 1s - loss: 13.9332 - mean_absolute_error: 2.59623593/4840 [=====================>........] - ETA: 1s - loss: 13.9186 - mean_absolute_error: 2.59553647/4840 [=====================>........] - ETA: 1s - loss: 13.9016 - mean_absolute_error: 2.59393696/4840 [=====================>........] - ETA: 1s - loss: 13.9004 - mean_absolute_error: 2.59383748/4840 [======================>.......] - ETA: 1s - loss: 13.9070 - mean_absolute_error: 2.59513800/4840 [======================>.......] - ETA: 0s - loss: 13.9044 - mean_absolute_error: 2.59533855/4840 [======================>.......] - ETA: 0s - loss: 13.8821 - mean_absolute_error: 2.59293909/4840 [=======================>......] - ETA: 0s - loss: 13.8734 - mean_absolute_error: 2.59233957/4840 [=======================>......] - ETA: 0s - loss: 13.8608 - mean_absolute_error: 2.59154008/4840 [=======================>......] - ETA: 0s - loss: 13.8590 - mean_absolute_error: 2.59204064/4840 [========================>.....] - ETA: 0s - loss: 13.8658 - mean_absolute_error: 2.59324118/4840 [========================>.....] - ETA: 0s - loss: 13.8610 - mean_absolute_error: 2.59354176/4840 [========================>.....] - ETA: 0s - loss: 13.8490 - mean_absolute_error: 2.59254235/4840 [=========================>....] - ETA: 0s - loss: 13.8374 - mean_absolute_error: 2.59144291/4840 [=========================>....] - ETA: 0s - loss: 13.8256 - mean_absolute_error: 2.59074343/4840 [=========================>....] - ETA: 0s - loss: 13.8224 - mean_absolute_error: 2.59054395/4840 [==========================>...] - ETA: 0s - loss: 13.8201 - mean_absolute_error: 2.59064452/4840 [==========================>...] - ETA: 0s - loss: 13.8194 - mean_absolute_error: 2.59104510/4840 [==========================>...] - ETA: 0s - loss: 13.8188 - mean_absolute_error: 2.59154568/4840 [===========================>..] - ETA: 0s - loss: 13.8166 - mean_absolute_error: 2.59184627/4840 [===========================>..] - ETA: 0s - loss: 13.8161 - mean_absolute_error: 2.59244686/4840 [============================>.] - ETA: 0s - loss: 13.8189 - mean_absolute_error: 2.59324745/4840 [============================>.] - ETA: 0s - loss: 13.8073 - mean_absolute_error: 2.59244804/4840 [============================>.] - ETA: 0s - loss: 13.8035 - mean_absolute_error: 2.59274840/4840 [==============================] - 5s 968us/step - loss: 13.8004 - mean_absolute_error: 2.5927 - val_loss: 13.7973 - val_mean_absolute_error: 2.6293
Epoch 8/100
   1/4840 [..............................] - ETA: 9s - loss: 20.6035 - mean_absolute_error: 3.4115  51/4840 [..............................] - ETA: 4s - loss: 13.2673 - mean_absolute_error: 2.5913  91/4840 [..............................] - ETA: 5s - loss: 13.7817 - mean_absolute_error: 2.6459 139/4840 [..............................] - ETA: 5s - loss: 13.5108 - mean_absolute_error: 2.6206 195/4840 [>.............................] - ETA: 4s - loss: 13.6284 - mean_absolute_error: 2.6280 253/4840 [>.............................] - ETA: 4s - loss: 13.3159 - mean_absolute_error: 2.5888 309/4840 [>.............................] - ETA: 4s - loss: 13.2219 - mean_absolute_error: 2.5761 364/4840 [=>............................] - ETA: 4s - loss: 13.1104 - mean_absolute_error: 2.5664 420/4840 [=>............................] - ETA: 4s - loss: 13.0867 - mean_absolute_error: 2.5596 475/4840 [=>............................] - ETA: 4s - loss: 13.2092 - mean_absolute_error: 2.5742 530/4840 [==>...........................] - 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mean_absolute_error: 2.58744703/4840 [============================>.] - ETA: 0s - loss: 13.0747 - mean_absolute_error: 2.58894761/4840 [============================>.] - ETA: 0s - loss: 13.0788 - mean_absolute_error: 2.58984819/4840 [============================>.] - ETA: 0s - loss: 13.0806 - mean_absolute_error: 2.59014840/4840 [==============================] - 5s 943us/step - loss: 13.0742 - mean_absolute_error: 2.5896 - val_loss: 13.2526 - val_mean_absolute_error: 2.6359
Epoch 9/100
   1/4840 [..............................] - ETA: 4s - loss: 12.3023 - mean_absolute_error: 2.6126  58/4840 [..............................] - ETA: 4s - loss: 12.2348 - mean_absolute_error: 2.4809 116/4840 [..............................] - ETA: 4s - loss: 12.4342 - mean_absolute_error: 2.5349 174/4840 [>.............................] - ETA: 4s - loss: 12.4838 - mean_absolute_error: 2.5455 233/4840 [>.............................] - ETA: 3s - loss: 12.6873 - mean_absolute_error: 2.5733 291/4840 [>.............................] - ETA: 3s - loss: 12.7663 - mean_absolute_error: 2.5904 349/4840 [=>............................] - ETA: 3s - loss: 12.7582 - mean_absolute_error: 2.5898 407/4840 [=>............................] - ETA: 3s - loss: 12.8035 - mean_absolute_error: 2.5950 462/4840 [=>............................] - ETA: 3s - loss: 12.7987 - mean_absolute_error: 2.5938 519/4840 [==>...........................] - ETA: 3s - loss: 12.8196 - mean_absolute_error: 2.5964 577/4840 [==>...........................] - 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mean_absolute_error: 2.58601208/4840 [======>.......................] - ETA: 3s - loss: 12.7035 - mean_absolute_error: 2.58681266/4840 [======>.......................] - ETA: 3s - loss: 12.6743 - mean_absolute_error: 2.58371323/4840 [=======>......................] - ETA: 3s - loss: 12.6623 - mean_absolute_error: 2.58341380/4840 [=======>......................] - ETA: 3s - loss: 12.6670 - mean_absolute_error: 2.58411437/4840 [=======>......................] - ETA: 2s - loss: 12.6530 - mean_absolute_error: 2.58211496/4840 [========>.....................] - ETA: 2s - loss: 12.6280 - mean_absolute_error: 2.57891554/4840 [========>.....................] - ETA: 2s - loss: 12.6261 - mean_absolute_error: 2.57911612/4840 [========>.....................] - ETA: 2s - loss: 12.6082 - mean_absolute_error: 2.57591669/4840 [=========>....................] - ETA: 2s - loss: 12.6131 - mean_absolute_error: 2.57701727/4840 [=========>....................] - ETA: 2s - loss: 12.5943 - mean_absolute_error: 2.57561781/4840 [==========>...................] - 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mean_absolute_error: 2.57872416/4840 [=============>................] - ETA: 2s - loss: 12.5626 - mean_absolute_error: 2.57702474/4840 [==============>...............] - ETA: 2s - loss: 12.5574 - mean_absolute_error: 2.57682533/4840 [==============>...............] - ETA: 2s - loss: 12.5579 - mean_absolute_error: 2.57672591/4840 [===============>..............] - ETA: 1s - loss: 12.5430 - mean_absolute_error: 2.57552649/4840 [===============>..............] - ETA: 1s - loss: 12.5579 - mean_absolute_error: 2.57722707/4840 [===============>..............] - ETA: 1s - loss: 12.5656 - mean_absolute_error: 2.57802764/4840 [================>.............] - ETA: 1s - loss: 12.5518 - mean_absolute_error: 2.57702821/4840 [================>.............] - ETA: 1s - loss: 12.5473 - mean_absolute_error: 2.57712878/4840 [================>.............] - ETA: 1s - loss: 12.5486 - mean_absolute_error: 2.57722934/4840 [=================>............] - ETA: 1s - loss: 12.5403 - mean_absolute_error: 2.57662992/4840 [=================>............] - 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mean_absolute_error: 2.58104832/4840 [============================>.] - ETA: 0s - loss: 12.4974 - mean_absolute_error: 2.58124840/4840 [==============================] - 4s 917us/step - loss: 12.4997 - mean_absolute_error: 2.5816 - val_loss: 12.8258 - val_mean_absolute_error: 2.6349
Epoch 10/100
   1/4840 [..............................] - ETA: 4s - loss: 10.2563 - mean_absolute_error: 2.5266  57/4840 [..............................] - ETA: 4s - loss: 11.7998 - mean_absolute_error: 2.5172 112/4840 [..............................] - ETA: 4s - loss: 12.4085 - mean_absolute_error: 2.6060 168/4840 [>.............................] - ETA: 4s - loss: 12.0634 - mean_absolute_error: 2.5542 224/4840 [>.............................] - ETA: 4s - loss: 12.0718 - mean_absolute_error: 2.5552 281/4840 [>.............................] - ETA: 4s - loss: 11.9864 - mean_absolute_error: 2.5482 338/4840 [=>............................] - ETA: 4s - loss: 11.9452 - mean_absolute_error: 2.5390 396/4840 [=>............................] - ETA: 3s - loss: 11.9929 - mean_absolute_error: 2.5438 454/4840 [=>............................] - ETA: 3s - loss: 12.0856 - mean_absolute_error: 2.5549 512/4840 [==>...........................] - ETA: 3s - loss: 12.1012 - mean_absolute_error: 2.5576 571/4840 [==>...........................] - 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mean_absolute_error: 2.57014823/4840 [============================>.] - ETA: 0s - loss: 12.0537 - mean_absolute_error: 2.57024840/4840 [==============================] - 4s 919us/step - loss: 12.0502 - mean_absolute_error: 2.5696 - val_loss: 12.4989 - val_mean_absolute_error: 2.6316
Epoch 11/100
   1/4840 [..............................] - ETA: 9s - loss: 20.2814 - mean_absolute_error: 3.4970  60/4840 [..............................] - ETA: 4s - loss: 11.7219 - mean_absolute_error: 2.5401 118/4840 [..............................] - ETA: 4s - loss: 11.7205 - mean_absolute_error: 2.5385 178/4840 [>.............................] - ETA: 4s - loss: 11.9042 - mean_absolute_error: 2.5553 236/4840 [>.............................] - ETA: 3s - loss: 11.7792 - mean_absolute_error: 2.5401 294/4840 [>.............................] - ETA: 3s - loss: 11.7508 - mean_absolute_error: 2.5440 351/4840 [=>............................] - ETA: 3s - loss: 11.8974 - mean_absolute_error: 2.5667 410/4840 [=>............................] - ETA: 3s - loss: 11.7946 - mean_absolute_error: 2.5569 469/4840 [=>............................] - ETA: 3s - loss: 11.8860 - mean_absolute_error: 2.5684 529/4840 [==>...........................] - ETA: 3s - loss: 11.8495 - mean_absolute_error: 2.5670 588/4840 [==>...........................] - 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mean_absolute_error: 2.56313651/4840 [=====================>........] - ETA: 1s - loss: 11.7656 - mean_absolute_error: 2.56333709/4840 [=====================>........] - ETA: 0s - loss: 11.7657 - mean_absolute_error: 2.56343767/4840 [======================>.......] - ETA: 0s - loss: 11.7604 - mean_absolute_error: 2.56283826/4840 [======================>.......] - ETA: 0s - loss: 11.7586 - mean_absolute_error: 2.56283884/4840 [=======================>......] - ETA: 0s - loss: 11.7569 - mean_absolute_error: 2.56233942/4840 [=======================>......] - ETA: 0s - loss: 11.7509 - mean_absolute_error: 2.56164001/4840 [=======================>......] - ETA: 0s - loss: 11.7415 - mean_absolute_error: 2.56044058/4840 [========================>.....] - ETA: 0s - loss: 11.7284 - mean_absolute_error: 2.55944116/4840 [========================>.....] - ETA: 0s - loss: 11.7317 - mean_absolute_error: 2.55994174/4840 [========================>.....] - ETA: 0s - loss: 11.7324 - mean_absolute_error: 2.56004230/4840 [=========================>....] - 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mean_absolute_error: 2.55774840/4840 [==============================] - 4s 912us/step - loss: 11.7008 - mean_absolute_error: 2.5573 - val_loss: 12.2438 - val_mean_absolute_error: 2.6248
Epoch 12/100
   1/4840 [..............................] - ETA: 4s - loss: 12.8185 - mean_absolute_error: 2.6756  59/4840 [..............................] - ETA: 4s - loss: 12.0860 - mean_absolute_error: 2.6236 118/4840 [..............................] - ETA: 4s - loss: 12.1181 - mean_absolute_error: 2.6315 177/4840 [>.............................] - ETA: 4s - loss: 11.9072 - mean_absolute_error: 2.5933 237/4840 [>.............................] - ETA: 3s - loss: 11.8080 - mean_absolute_error: 2.5731 294/4840 [>.............................] - ETA: 3s - loss: 11.6517 - mean_absolute_error: 2.5582 351/4840 [=>............................] - ETA: 3s - loss: 11.6076 - mean_absolute_error: 2.5515 409/4840 [=>............................] - ETA: 3s - loss: 11.4976 - mean_absolute_error: 2.5362 467/4840 [=>............................] - ETA: 3s - loss: 11.4992 - mean_absolute_error: 2.5375 525/4840 [==>...........................] - ETA: 3s - loss: 11.5491 - mean_absolute_error: 2.5461 583/4840 [==>...........................] - ETA: 3s - loss: 11.5351 - mean_absolute_error: 2.5440 641/4840 [==>...........................] - ETA: 3s - loss: 11.5525 - mean_absolute_error: 2.5467 700/4840 [===>..........................] - ETA: 3s - loss: 11.5272 - mean_absolute_error: 2.5471 757/4840 [===>..........................] - ETA: 3s - loss: 11.5580 - mean_absolute_error: 2.5521 816/4840 [====>.........................] - ETA: 3s - loss: 11.5805 - mean_absolute_error: 2.5540 875/4840 [====>.........................] - ETA: 3s - loss: 11.5489 - mean_absolute_error: 2.5504 934/4840 [====>.........................] - ETA: 3s - loss: 11.5231 - mean_absolute_error: 2.5474 993/4840 [=====>........................] - ETA: 3s - loss: 11.5308 - mean_absolute_error: 2.54871052/4840 [=====>........................] - ETA: 3s - loss: 11.5166 - mean_absolute_error: 2.54731110/4840 [=====>........................] - ETA: 3s - loss: 11.5265 - mean_absolute_error: 2.54991167/4840 [======>.......................] - ETA: 3s - loss: 11.5007 - mean_absolute_error: 2.54731226/4840 [======>.......................] - ETA: 3s - loss: 11.5043 - mean_absolute_error: 2.54621282/4840 [======>.......................] - ETA: 3s - loss: 11.4995 - mean_absolute_error: 2.54501341/4840 [=======>......................] - ETA: 3s - loss: 11.4996 - mean_absolute_error: 2.54651399/4840 [=======>......................] - ETA: 2s - loss: 11.5310 - mean_absolute_error: 2.55021453/4840 [========>.....................] - ETA: 2s - loss: 11.5255 - mean_absolute_error: 2.55011512/4840 [========>.....................] - ETA: 2s - loss: 11.5219 - mean_absolute_error: 2.54891570/4840 [========>.....................] - ETA: 2s - loss: 11.5173 - mean_absolute_error: 2.55021629/4840 [=========>....................] - ETA: 2s - loss: 11.5241 - mean_absolute_error: 2.55101686/4840 [=========>....................] - ETA: 2s - loss: 11.5271 - mean_absolute_error: 2.55191745/4840 [=========>....................] - ETA: 2s - loss: 11.5261 - mean_absolute_error: 2.55101803/4840 [==========>...................] - 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mean_absolute_error: 2.55352446/4840 [==============>...............] - ETA: 2s - loss: 11.5169 - mean_absolute_error: 2.55302504/4840 [==============>...............] - ETA: 2s - loss: 11.5081 - mean_absolute_error: 2.55242563/4840 [==============>...............] - ETA: 1s - loss: 11.5102 - mean_absolute_error: 2.55232619/4840 [===============>..............] - ETA: 1s - loss: 11.5099 - mean_absolute_error: 2.55232677/4840 [===============>..............] - ETA: 1s - loss: 11.5137 - mean_absolute_error: 2.55282735/4840 [===============>..............] - ETA: 1s - loss: 11.5081 - mean_absolute_error: 2.55232794/4840 [================>.............] - ETA: 1s - loss: 11.5205 - mean_absolute_error: 2.55342852/4840 [================>.............] - ETA: 1s - loss: 11.5160 - mean_absolute_error: 2.55332910/4840 [=================>............] - ETA: 1s - loss: 11.5076 - mean_absolute_error: 2.55232968/4840 [=================>............] - ETA: 1s - loss: 11.5093 - mean_absolute_error: 2.55323026/4840 [=================>............] - 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mean_absolute_error: 2.54853667/4840 [=====================>........] - ETA: 1s - loss: 11.4668 - mean_absolute_error: 2.54803726/4840 [======================>.......] - ETA: 0s - loss: 11.4655 - mean_absolute_error: 2.54823781/4840 [======================>.......] - ETA: 0s - loss: 11.4563 - mean_absolute_error: 2.54703839/4840 [======================>.......] - ETA: 0s - loss: 11.4485 - mean_absolute_error: 2.54633898/4840 [=======================>......] - ETA: 0s - loss: 11.4408 - mean_absolute_error: 2.54523957/4840 [=======================>......] - ETA: 0s - loss: 11.4366 - mean_absolute_error: 2.54484013/4840 [=======================>......] - ETA: 0s - loss: 11.4378 - mean_absolute_error: 2.54514071/4840 [========================>.....] - ETA: 0s - loss: 11.4334 - mean_absolute_error: 2.54464129/4840 [========================>.....] - ETA: 0s - loss: 11.4242 - mean_absolute_error: 2.54334189/4840 [========================>.....] - ETA: 0s - loss: 11.4260 - mean_absolute_error: 2.54344247/4840 [=========================>....] - 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mean_absolute_error: 2.54384840/4840 [==============================] - 4s 907us/step - loss: 11.4300 - mean_absolute_error: 2.5441 - val_loss: 12.0504 - val_mean_absolute_error: 2.6184
Epoch 13/100
   1/4840 [..............................] - ETA: 4s - loss: 10.0977 - mean_absolute_error: 2.6258  60/4840 [..............................] - ETA: 4s - loss: 10.7221 - mean_absolute_error: 2.4667 119/4840 [..............................] - ETA: 4s - loss: 11.0139 - mean_absolute_error: 2.5154 176/4840 [>.............................] - ETA: 4s - loss: 11.1091 - mean_absolute_error: 2.5125 235/4840 [>.............................] - ETA: 3s - loss: 11.0788 - mean_absolute_error: 2.5099 294/4840 [>.............................] - ETA: 3s - loss: 11.1183 - mean_absolute_error: 2.5182 353/4840 [=>............................] - ETA: 3s - loss: 11.0829 - mean_absolute_error: 2.5108 411/4840 [=>............................] - ETA: 3s - loss: 11.0952 - mean_absolute_error: 2.5141 470/4840 [=>............................] - ETA: 3s - loss: 11.0949 - mean_absolute_error: 2.5180 530/4840 [==>...........................] - ETA: 3s - loss: 11.1395 - mean_absolute_error: 2.5223 588/4840 [==>...........................] - 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mean_absolute_error: 2.53144826/4840 [============================>.] - ETA: 0s - loss: 11.2226 - mean_absolute_error: 2.53174840/4840 [==============================] - 5s 936us/step - loss: 11.2220 - mean_absolute_error: 2.5317 - val_loss: 11.9059 - val_mean_absolute_error: 2.6125
Epoch 14/100
   1/4840 [..............................] - ETA: 9s - loss: 12.3249 - mean_absolute_error: 2.5927  59/4840 [..............................] - ETA: 4s - loss: 10.7158 - mean_absolute_error: 2.4895 119/4840 [..............................] - ETA: 4s - loss: 10.7448 - mean_absolute_error: 2.4825 177/4840 [>.............................] - ETA: 4s - loss: 10.8284 - mean_absolute_error: 2.4903 236/4840 [>.............................] - ETA: 3s - loss: 10.7370 - mean_absolute_error: 2.4867 294/4840 [>.............................] - ETA: 3s - loss: 10.7874 - mean_absolute_error: 2.4960 352/4840 [=>............................] - ETA: 3s - loss: 10.9033 - mean_absolute_error: 2.5088 409/4840 [=>............................] - ETA: 3s - loss: 10.8951 - mean_absolute_error: 2.5043 467/4840 [=>............................] - ETA: 3s - loss: 10.8920 - mean_absolute_error: 2.5043 526/4840 [==>...........................] - ETA: 3s - loss: 10.8924 - mean_absolute_error: 2.5038 585/4840 [==>...........................] - 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mean_absolute_error: 2.51691226/4840 [======>.......................] - ETA: 3s - loss: 11.0976 - mean_absolute_error: 2.52071285/4840 [======>.......................] - ETA: 3s - loss: 11.0800 - mean_absolute_error: 2.51831344/4840 [=======>......................] - ETA: 3s - loss: 11.0882 - mean_absolute_error: 2.51921399/4840 [=======>......................] - ETA: 2s - loss: 11.1010 - mean_absolute_error: 2.52041453/4840 [========>.....................] - ETA: 2s - loss: 11.1070 - mean_absolute_error: 2.52141510/4840 [========>.....................] - ETA: 2s - loss: 11.0974 - mean_absolute_error: 2.51941568/4840 [========>.....................] - ETA: 2s - loss: 11.1033 - mean_absolute_error: 2.52071625/4840 [=========>....................] - ETA: 2s - loss: 11.0831 - mean_absolute_error: 2.51901681/4840 [=========>....................] - ETA: 2s - loss: 11.0735 - mean_absolute_error: 2.51741739/4840 [=========>....................] - ETA: 2s - loss: 11.0733 - mean_absolute_error: 2.51761797/4840 [==========>...................] - 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mean_absolute_error: 2.51984828/4840 [============================>.] - ETA: 0s - loss: 11.0609 - mean_absolute_error: 2.52054840/4840 [==============================] - 4s 922us/step - loss: 11.0598 - mean_absolute_error: 2.5203 - val_loss: 11.7936 - val_mean_absolute_error: 2.6073
Epoch 15/100
   1/4840 [..............................] - ETA: 9s - loss: 9.4455 - mean_absolute_error: 2.2871  60/4840 [..............................] - ETA: 4s - loss: 10.8198 - mean_absolute_error: 2.4970 120/4840 [..............................] - ETA: 4s - loss: 10.9888 - mean_absolute_error: 2.5079 178/4840 [>.............................] - ETA: 3s - loss: 10.8543 - mean_absolute_error: 2.5009 237/4840 [>.............................] - ETA: 3s - loss: 10.7467 - mean_absolute_error: 2.4856 295/4840 [>.............................] - ETA: 3s - loss: 10.8035 - mean_absolute_error: 2.4963 354/4840 [=>............................] - ETA: 3s - loss: 10.7976 - mean_absolute_error: 2.4945 414/4840 [=>............................] - ETA: 3s - loss: 10.7650 - mean_absolute_error: 2.4905 473/4840 [=>............................] - ETA: 3s - loss: 10.7017 - mean_absolute_error: 2.4808 533/4840 [==>...........................] - ETA: 3s - loss: 10.7442 - mean_absolute_error: 2.4833 592/4840 [==>...........................] - 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mean_absolute_error: 2.51164828/4840 [============================>.] - ETA: 0s - loss: 10.9381 - mean_absolute_error: 2.51134840/4840 [==============================] - 4s 930us/step - loss: 10.9366 - mean_absolute_error: 2.5111 - val_loss: 11.7088 - val_mean_absolute_error: 2.6028
Epoch 16/100
   1/4840 [..............................] - ETA: 9s - loss: 10.4363 - mean_absolute_error: 2.4579  60/4840 [..............................] - ETA: 4s - loss: 11.0465 - mean_absolute_error: 2.5418 118/4840 [..............................] - ETA: 4s - loss: 11.0726 - mean_absolute_error: 2.5357 177/4840 [>.............................] - ETA: 4s - loss: 11.1050 - mean_absolute_error: 2.5421 236/4840 [>.............................] - ETA: 3s - loss: 11.1943 - mean_absolute_error: 2.5587 295/4840 [>.............................] - ETA: 3s - loss: 11.1297 - mean_absolute_error: 2.5476 354/4840 [=>............................] - ETA: 3s - loss: 11.1034 - mean_absolute_error: 2.5477 411/4840 [=>............................] - ETA: 3s - loss: 11.1047 - mean_absolute_error: 2.5451 468/4840 [=>............................] - ETA: 3s - loss: 11.0120 - mean_absolute_error: 2.5360 527/4840 [==>...........................] - ETA: 3s - loss: 10.9435 - mean_absolute_error: 2.5243 585/4840 [==>...........................] - 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mean_absolute_error: 2.50063664/4840 [=====================>........] - ETA: 1s - loss: 10.8229 - mean_absolute_error: 2.50193722/4840 [======================>.......] - ETA: 0s - loss: 10.8267 - mean_absolute_error: 2.50253780/4840 [======================>.......] - ETA: 0s - loss: 10.8276 - mean_absolute_error: 2.50283838/4840 [======================>.......] - ETA: 0s - loss: 10.8296 - mean_absolute_error: 2.50293893/4840 [=======================>......] - ETA: 0s - loss: 10.8356 - mean_absolute_error: 2.50373951/4840 [=======================>......] - ETA: 0s - loss: 10.8410 - mean_absolute_error: 2.50454010/4840 [=======================>......] - ETA: 0s - loss: 10.8345 - mean_absolute_error: 2.50384055/4840 [========================>.....] - ETA: 0s - loss: 10.8333 - mean_absolute_error: 2.50384103/4840 [========================>.....] - ETA: 0s - loss: 10.8279 - mean_absolute_error: 2.50324160/4840 [========================>.....] - ETA: 0s - loss: 10.8324 - mean_absolute_error: 2.50384217/4840 [=========================>....] - 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mean_absolute_error: 2.50434840/4840 [==============================] - 4s 916us/step - loss: 10.8411 - mean_absolute_error: 2.5040 - val_loss: 11.6429 - val_mean_absolute_error: 2.5982
Epoch 17/100
   1/4840 [..............................] - ETA: 4s - loss: 8.1448 - mean_absolute_error: 2.1133  56/4840 [..............................] - ETA: 4s - loss: 10.9945 - mean_absolute_error: 2.5357 108/4840 [..............................] - ETA: 4s - loss: 10.6740 - mean_absolute_error: 2.4876 157/4840 [..............................] - ETA: 4s - loss: 10.7449 - mean_absolute_error: 2.4967 212/4840 [>.............................] - ETA: 4s - loss: 10.7418 - mean_absolute_error: 2.5016 267/4840 [>.............................] - ETA: 4s - loss: 10.8066 - mean_absolute_error: 2.5129 323/4840 [=>............................] - ETA: 4s - loss: 10.8434 - mean_absolute_error: 2.5139 377/4840 [=>............................] - ETA: 4s - loss: 10.7508 - mean_absolute_error: 2.5030 428/4840 [=>............................] - ETA: 4s - loss: 10.7529 - mean_absolute_error: 2.5004 481/4840 [=>............................] - ETA: 4s - loss: 10.7267 - mean_absolute_error: 2.4924 535/4840 [==>...........................] - ETA: 4s - loss: 10.7492 - mean_absolute_error: 2.4962 591/4840 [==>...........................] - ETA: 3s - loss: 10.7571 - mean_absolute_error: 2.4983 645/4840 [==>...........................] - ETA: 3s - loss: 10.6801 - mean_absolute_error: 2.4897 696/4840 [===>..........................] - ETA: 3s - loss: 10.6362 - mean_absolute_error: 2.4848 750/4840 [===>..........................] - ETA: 3s - loss: 10.5896 - mean_absolute_error: 2.4786 804/4840 [===>..........................] - ETA: 3s - loss: 10.5474 - mean_absolute_error: 2.4748 860/4840 [====>.........................] - ETA: 3s - loss: 10.6126 - mean_absolute_error: 2.4809 913/4840 [====>.........................] - ETA: 3s - loss: 10.5983 - mean_absolute_error: 2.4791 962/4840 [====>.........................] - ETA: 3s - loss: 10.6413 - mean_absolute_error: 2.48411014/4840 [=====>........................] - ETA: 3s - loss: 10.6514 - mean_absolute_error: 2.48571071/4840 [=====>........................] - ETA: 3s - loss: 10.6241 - mean_absolute_error: 2.48211128/4840 [=====>........................] - ETA: 3s - loss: 10.6030 - mean_absolute_error: 2.47911184/4840 [======>.......................] - ETA: 3s - loss: 10.5773 - mean_absolute_error: 2.47591239/4840 [======>.......................] - ETA: 3s - loss: 10.5448 - mean_absolute_error: 2.47231294/4840 [=======>......................] - ETA: 3s - loss: 10.5636 - mean_absolute_error: 2.47491352/4840 [=======>......................] - ETA: 3s - loss: 10.5804 - mean_absolute_error: 2.47701410/4840 [=======>......................] - ETA: 3s - loss: 10.5894 - mean_absolute_error: 2.47841466/4840 [========>.....................] - ETA: 3s - loss: 10.5814 - mean_absolute_error: 2.47691524/4840 [========>.....................] - ETA: 3s - loss: 10.5772 - mean_absolute_error: 2.47561580/4840 [========>.....................] - ETA: 3s - loss: 10.5670 - mean_absolute_error: 2.47351639/4840 [=========>....................] - ETA: 2s - loss: 10.5819 - mean_absolute_error: 2.47611698/4840 [=========>....................] - ETA: 2s - loss: 10.6022 - mean_absolute_error: 2.47891756/4840 [=========>....................] - ETA: 2s - loss: 10.6180 - mean_absolute_error: 2.48041814/4840 [==========>...................] - ETA: 2s - loss: 10.6071 - mean_absolute_error: 2.47851871/4840 [==========>...................] - ETA: 2s - loss: 10.6204 - mean_absolute_error: 2.48041930/4840 [==========>...................] - ETA: 2s - loss: 10.6345 - mean_absolute_error: 2.48191988/4840 [===========>..................] - ETA: 2s - loss: 10.6511 - mean_absolute_error: 2.48452047/4840 [===========>..................] - ETA: 2s - loss: 10.6450 - mean_absolute_error: 2.48332104/4840 [============>.................] - ETA: 2s - loss: 10.6580 - mean_absolute_error: 2.48542161/4840 [============>.................] - ETA: 2s - loss: 10.6547 - mean_absolute_error: 2.48462220/4840 [============>.................] - ETA: 2s - loss: 10.6562 - mean_absolute_error: 2.48432277/4840 [=============>................] - ETA: 2s - loss: 10.6399 - 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mean_absolute_error: 2.49584770/4840 [============================>.] - ETA: 0s - loss: 10.7655 - mean_absolute_error: 2.49624828/4840 [============================>.] - ETA: 0s - loss: 10.7684 - mean_absolute_error: 2.49644840/4840 [==============================] - 5s 938us/step - loss: 10.7690 - mean_absolute_error: 2.4964 - val_loss: 11.5943 - val_mean_absolute_error: 2.5945
Epoch 18/100
   1/4840 [..............................] - ETA: 4s - loss: 9.1663 - mean_absolute_error: 2.3895  59/4840 [..............................] - ETA: 4s - loss: 10.6540 - mean_absolute_error: 2.4902 119/4840 [..............................] - ETA: 4s - loss: 10.8265 - mean_absolute_error: 2.4960 177/4840 [>.............................] - ETA: 4s - loss: 10.8390 - mean_absolute_error: 2.5107 235/4840 [>.............................] - ETA: 3s - loss: 10.8227 - mean_absolute_error: 2.5069 290/4840 [>.............................] - ETA: 3s - loss: 10.9108 - mean_absolute_error: 2.5176 347/4840 [=>............................] - ETA: 3s - loss: 10.9293 - mean_absolute_error: 2.5196 404/4840 [=>............................] - ETA: 3s - loss: 10.8150 - mean_absolute_error: 2.5045 457/4840 [=>............................] - ETA: 3s - loss: 10.7683 - mean_absolute_error: 2.4988 515/4840 [==>...........................] - ETA: 3s - loss: 10.8350 - mean_absolute_error: 2.5049 573/4840 [==>...........................] - 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mean_absolute_error: 2.49064819/4840 [============================>.] - ETA: 0s - loss: 10.7079 - mean_absolute_error: 2.49104840/4840 [==============================] - 4s 922us/step - loss: 10.7122 - mean_absolute_error: 2.4917 - val_loss: 11.5570 - val_mean_absolute_error: 2.5909
Epoch 19/100
   1/4840 [..............................] - ETA: 4s - loss: 12.5893 - mean_absolute_error: 2.8113  56/4840 [..............................] - ETA: 4s - loss: 10.6983 - mean_absolute_error: 2.5040 109/4840 [..............................] - ETA: 4s - loss: 10.7515 - mean_absolute_error: 2.5112 164/4840 [>.............................] - ETA: 4s - loss: 10.6264 - mean_absolute_error: 2.4802 216/4840 [>.............................] - ETA: 4s - loss: 10.5339 - mean_absolute_error: 2.4704 271/4840 [>.............................] - ETA: 4s - loss: 10.5574 - mean_absolute_error: 2.4773 328/4840 [=>............................] - ETA: 4s - loss: 10.6272 - mean_absolute_error: 2.4856 385/4840 [=>............................] - ETA: 4s - loss: 10.6864 - mean_absolute_error: 2.4959 441/4840 [=>............................] - ETA: 4s - loss: 10.6854 - mean_absolute_error: 2.4947 497/4840 [==>...........................] - ETA: 3s - loss: 10.6357 - mean_absolute_error: 2.4857 552/4840 [==>...........................] - ETA: 3s - loss: 10.6853 - mean_absolute_error: 2.4882 608/4840 [==>...........................] - ETA: 3s - loss: 10.6868 - mean_absolute_error: 2.4873 665/4840 [===>..........................] - ETA: 3s - loss: 10.7382 - mean_absolute_error: 2.4937 722/4840 [===>..........................] - ETA: 3s - loss: 10.7540 - mean_absolute_error: 2.4964 779/4840 [===>..........................] - ETA: 3s - loss: 10.7605 - mean_absolute_error: 2.4961 835/4840 [====>.........................] - ETA: 3s - loss: 10.7642 - mean_absolute_error: 2.4978 893/4840 [====>.........................] - ETA: 3s - loss: 10.7639 - mean_absolute_error: 2.4980 951/4840 [====>.........................] - ETA: 3s - loss: 10.7603 - mean_absolute_error: 2.49731003/4840 [=====>........................] - ETA: 3s - loss: 10.7587 - mean_absolute_error: 2.49811056/4840 [=====>........................] - ETA: 3s - loss: 10.7359 - mean_absolute_error: 2.49581107/4840 [=====>........................] - ETA: 3s - loss: 10.6981 - 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mean_absolute_error: 2.48951819/4840 [==========>...................] - ETA: 3s - loss: 10.6819 - mean_absolute_error: 2.49021868/4840 [==========>...................] - ETA: 3s - loss: 10.6962 - mean_absolute_error: 2.49251907/4840 [==========>...................] - ETA: 3s - loss: 10.6899 - mean_absolute_error: 2.49111948/4840 [===========>..................] - ETA: 3s - loss: 10.6966 - mean_absolute_error: 2.49242006/4840 [===========>..................] - ETA: 3s - loss: 10.6898 - mean_absolute_error: 2.49182062/4840 [===========>..................] - ETA: 3s - loss: 10.6816 - mean_absolute_error: 2.49072118/4840 [============>.................] - ETA: 3s - loss: 10.6777 - mean_absolute_error: 2.49012176/4840 [============>.................] - ETA: 3s - loss: 10.6624 - mean_absolute_error: 2.48792233/4840 [============>.................] - ETA: 2s - loss: 10.6622 - mean_absolute_error: 2.48762290/4840 [=============>................] - ETA: 2s - loss: 10.6648 - mean_absolute_error: 2.48822335/4840 [=============>................] - 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mean_absolute_error: 2.48533857/4840 [======================>.......] - ETA: 1s - loss: 10.6546 - mean_absolute_error: 2.48513916/4840 [=======================>......] - ETA: 1s - loss: 10.6599 - mean_absolute_error: 2.48563973/4840 [=======================>......] - ETA: 0s - loss: 10.6604 - mean_absolute_error: 2.48534031/4840 [=======================>......] - ETA: 0s - loss: 10.6581 - mean_absolute_error: 2.48474088/4840 [========================>.....] - ETA: 0s - loss: 10.6662 - mean_absolute_error: 2.48604146/4840 [========================>.....] - ETA: 0s - loss: 10.6604 - mean_absolute_error: 2.48534201/4840 [=========================>....] - ETA: 0s - loss: 10.6459 - mean_absolute_error: 2.48374257/4840 [=========================>....] - ETA: 0s - loss: 10.6431 - mean_absolute_error: 2.48354315/4840 [=========================>....] - ETA: 0s - loss: 10.6482 - mean_absolute_error: 2.48434373/4840 [==========================>...] - ETA: 0s - loss: 10.6464 - mean_absolute_error: 2.48384428/4840 [==========================>...] - ETA: 0s - loss: 10.6550 - mean_absolute_error: 2.48504485/4840 [==========================>...] - ETA: 0s - loss: 10.6614 - mean_absolute_error: 2.48574542/4840 [===========================>..] - ETA: 0s - loss: 10.6587 - mean_absolute_error: 2.48534600/4840 [===========================>..] - ETA: 0s - loss: 10.6661 - mean_absolute_error: 2.48624654/4840 [===========================>..] - ETA: 0s - loss: 10.6675 - mean_absolute_error: 2.48644713/4840 [============================>.] - ETA: 0s - loss: 10.6708 - mean_absolute_error: 2.48674768/4840 [============================>.] - ETA: 0s - loss: 10.6693 - mean_absolute_error: 2.48664825/4840 [============================>.] - ETA: 0s - loss: 10.6716 - mean_absolute_error: 2.48694840/4840 [==============================] - 5s 1ms/step - loss: 10.6682 - mean_absolute_error: 2.4865 - val_loss: 11.5294 - val_mean_absolute_error: 2.5885
Epoch 20/100
   1/4840 [..............................] - ETA: 4s - loss: 15.0046 - mean_absolute_error: 2.9691  57/4840 [..............................] - ETA: 4s - loss: 10.2119 - mean_absolute_error: 2.4342 115/4840 [..............................] - ETA: 4s - loss: 10.1319 - mean_absolute_error: 2.4289 173/4840 [>.............................] - ETA: 4s - loss: 10.2421 - mean_absolute_error: 2.4386 229/4840 [>.............................] - ETA: 4s - loss: 10.4111 - mean_absolute_error: 2.4618 286/4840 [>.............................] - ETA: 4s - loss: 10.5384 - mean_absolute_error: 2.4803 342/4840 [=>............................] - ETA: 3s - loss: 10.5482 - mean_absolute_error: 2.4824 399/4840 [=>............................] - ETA: 3s - loss: 10.5904 - mean_absolute_error: 2.4848 457/4840 [=>............................] - ETA: 3s - loss: 10.5920 - mean_absolute_error: 2.4840 508/4840 [==>...........................] - ETA: 3s - loss: 10.6602 - mean_absolute_error: 2.4932 564/4840 [==>...........................] - 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mean_absolute_error: 2.47763572/4840 [=====================>........] - ETA: 1s - loss: 10.5993 - mean_absolute_error: 2.47803630/4840 [=====================>........] - ETA: 1s - loss: 10.5886 - mean_absolute_error: 2.47633688/4840 [=====================>........] - ETA: 1s - loss: 10.5973 - mean_absolute_error: 2.47743741/4840 [======================>.......] - ETA: 0s - loss: 10.6015 - mean_absolute_error: 2.47803800/4840 [======================>.......] - ETA: 0s - loss: 10.6022 - mean_absolute_error: 2.47813856/4840 [======================>.......] - ETA: 0s - loss: 10.6036 - mean_absolute_error: 2.47783914/4840 [=======================>......] - ETA: 0s - loss: 10.6098 - mean_absolute_error: 2.47853970/4840 [=======================>......] - ETA: 0s - loss: 10.6078 - mean_absolute_error: 2.47874028/4840 [=======================>......] - ETA: 0s - loss: 10.6127 - mean_absolute_error: 2.47934084/4840 [========================>.....] - ETA: 0s - loss: 10.6174 - mean_absolute_error: 2.47974142/4840 [========================>.....] - ETA: 0s - loss: 10.6245 - mean_absolute_error: 2.48084200/4840 [=========================>....] - ETA: 0s - loss: 10.6316 - mean_absolute_error: 2.48164258/4840 [=========================>....] - ETA: 0s - loss: 10.6326 - mean_absolute_error: 2.48194315/4840 [=========================>....] - ETA: 0s - loss: 10.6329 - mean_absolute_error: 2.48214372/4840 [==========================>...] - ETA: 0s - loss: 10.6368 - mean_absolute_error: 2.48284430/4840 [==========================>...] - ETA: 0s - loss: 10.6348 - mean_absolute_error: 2.48264488/4840 [==========================>...] - ETA: 0s - loss: 10.6347 - mean_absolute_error: 2.48284545/4840 [===========================>..] - ETA: 0s - loss: 10.6399 - mean_absolute_error: 2.48344603/4840 [===========================>..] - ETA: 0s - loss: 10.6234 - mean_absolute_error: 2.48094661/4840 [===========================>..] - ETA: 0s - loss: 10.6235 - mean_absolute_error: 2.48094719/4840 [============================>.] - ETA: 0s - loss: 10.6329 - mean_absolute_error: 2.48214776/4840 [============================>.] - ETA: 0s - loss: 10.6351 - mean_absolute_error: 2.48234833/4840 [============================>.] - ETA: 0s - loss: 10.6356 - mean_absolute_error: 2.48254840/4840 [==============================] - 5s 933us/step - loss: 10.6346 - mean_absolute_error: 2.4824 - val_loss: 11.5114 - val_mean_absolute_error: 2.5869
Epoch 21/100
   1/4840 [..............................] - ETA: 9s - loss: 9.7530 - mean_absolute_error: 2.5539  51/4840 [..............................] - ETA: 4s - loss: 10.0567 - mean_absolute_error: 2.3847 105/4840 [..............................] - ETA: 4s - loss: 10.1098 - mean_absolute_error: 2.4053 160/4840 [..............................] - ETA: 4s - loss: 10.2638 - mean_absolute_error: 2.4257 217/4840 [>.............................] - ETA: 4s - loss: 10.3327 - mean_absolute_error: 2.4321 275/4840 [>.............................] - ETA: 4s - loss: 10.4521 - mean_absolute_error: 2.4436 332/4840 [=>............................] - ETA: 4s - loss: 10.3547 - mean_absolute_error: 2.4329 389/4840 [=>............................] - ETA: 4s - loss: 10.3907 - mean_absolute_error: 2.4395 446/4840 [=>............................] - ETA: 3s - loss: 10.3547 - mean_absolute_error: 2.4405 504/4840 [==>...........................] - ETA: 3s - loss: 10.3513 - mean_absolute_error: 2.4376 561/4840 [==>...........................] - ETA: 3s - loss: 10.3601 - mean_absolute_error: 2.4389 619/4840 [==>...........................] - ETA: 3s - loss: 10.4286 - mean_absolute_error: 2.4490 676/4840 [===>..........................] - ETA: 3s - loss: 10.5038 - mean_absolute_error: 2.4604 733/4840 [===>..........................] - ETA: 3s - loss: 10.4948 - mean_absolute_error: 2.4592 789/4840 [===>..........................] - ETA: 3s - loss: 10.4919 - mean_absolute_error: 2.4585 847/4840 [====>.........................] - ETA: 3s - loss: 10.4902 - mean_absolute_error: 2.4565 903/4840 [====>.........................] - ETA: 3s - loss: 10.4811 - mean_absolute_error: 2.4549 956/4840 [====>.........................] - ETA: 3s - loss: 10.5117 - mean_absolute_error: 2.45971012/4840 [=====>........................] - ETA: 3s - loss: 10.5049 - mean_absolute_error: 2.45941068/4840 [=====>........................] - ETA: 3s - loss: 10.4906 - mean_absolute_error: 2.45711126/4840 [=====>........................] - ETA: 3s - loss: 10.4901 - mean_absolute_error: 2.45861180/4840 [======>.......................] - ETA: 3s - loss: 10.4907 - mean_absolute_error: 2.45831236/4840 [======>.......................] - ETA: 3s - loss: 10.4943 - mean_absolute_error: 2.45951293/4840 [=======>......................] - ETA: 3s - loss: 10.5302 - mean_absolute_error: 2.46541351/4840 [=======>......................] - ETA: 3s - loss: 10.5464 - mean_absolute_error: 2.46771408/4840 [=======>......................] - ETA: 3s - loss: 10.5301 - mean_absolute_error: 2.46581465/4840 [========>.....................] - ETA: 3s - loss: 10.5249 - mean_absolute_error: 2.46421522/4840 [========>.....................] - ETA: 2s - loss: 10.5239 - mean_absolute_error: 2.46471575/4840 [========>.....................] - ETA: 2s - loss: 10.5347 - mean_absolute_error: 2.46551634/4840 [=========>....................] - ETA: 2s - loss: 10.5346 - mean_absolute_error: 2.46571692/4840 [=========>....................] - ETA: 2s - loss: 10.5501 - mean_absolute_error: 2.46751751/4840 [=========>....................] - ETA: 2s - loss: 10.5436 - mean_absolute_error: 2.46671809/4840 [==========>...................] - ETA: 2s - loss: 10.5329 - mean_absolute_error: 2.46511864/4840 [==========>...................] - ETA: 2s - loss: 10.5413 - mean_absolute_error: 2.46631923/4840 [==========>...................] - ETA: 2s - loss: 10.5461 - mean_absolute_error: 2.46701981/4840 [===========>..................] - ETA: 2s - loss: 10.5505 - mean_absolute_error: 2.46722038/4840 [===========>..................] - ETA: 2s - loss: 10.5556 - mean_absolute_error: 2.46842096/4840 [===========>..................] - ETA: 2s - loss: 10.5532 - mean_absolute_error: 2.46832148/4840 [============>.................] - ETA: 2s - loss: 10.5503 - mean_absolute_error: 2.46812206/4840 [============>.................] - ETA: 2s - loss: 10.5567 - mean_absolute_error: 2.46882263/4840 [=============>................] - ETA: 2s - loss: 10.5533 - mean_absolute_error: 2.46852317/4840 [=============>................] - ETA: 2s - loss: 10.5654 - 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mean_absolute_error: 2.47443593/4840 [=====================>........] - ETA: 1s - loss: 10.5745 - mean_absolute_error: 2.47483652/4840 [=====================>........] - ETA: 1s - loss: 10.5744 - mean_absolute_error: 2.47503707/4840 [=====================>........] - ETA: 1s - loss: 10.5804 - mean_absolute_error: 2.47573765/4840 [======================>.......] - ETA: 0s - loss: 10.5786 - mean_absolute_error: 2.47563825/4840 [======================>.......] - ETA: 0s - loss: 10.5668 - mean_absolute_error: 2.47433882/4840 [=======================>......] - ETA: 0s - loss: 10.5693 - mean_absolute_error: 2.47443942/4840 [=======================>......] - ETA: 0s - loss: 10.5861 - mean_absolute_error: 2.47634001/4840 [=======================>......] - ETA: 0s - loss: 10.5884 - mean_absolute_error: 2.47654059/4840 [========================>.....] - ETA: 0s - loss: 10.5875 - mean_absolute_error: 2.47644111/4840 [========================>.....] - ETA: 0s - loss: 10.5835 - mean_absolute_error: 2.47564169/4840 [========================>.....] - 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mean_absolute_error: 2.47884809/4840 [============================>.] - ETA: 0s - loss: 10.6069 - mean_absolute_error: 2.47914840/4840 [==============================] - 4s 923us/step - loss: 10.6083 - mean_absolute_error: 2.4792 - val_loss: 11.4950 - val_mean_absolute_error: 2.5857
Epoch 22/100
   1/4840 [..............................] - ETA: 9s - loss: 8.4324 - mean_absolute_error: 2.2207  60/4840 [..............................] - ETA: 4s - loss: 10.1846 - mean_absolute_error: 2.4443 118/4840 [..............................] - ETA: 4s - loss: 10.5513 - mean_absolute_error: 2.4959 177/4840 [>.............................] - ETA: 4s - loss: 10.5340 - mean_absolute_error: 2.4831 234/4840 [>.............................] - ETA: 3s - loss: 10.4250 - mean_absolute_error: 2.4652 293/4840 [>.............................] - ETA: 3s - loss: 10.4009 - mean_absolute_error: 2.4603 352/4840 [=>............................] - ETA: 3s - loss: 10.3936 - mean_absolute_error: 2.4586 410/4840 [=>............................] - ETA: 3s - loss: 10.4470 - mean_absolute_error: 2.4642 469/4840 [=>............................] - ETA: 3s - loss: 10.5197 - mean_absolute_error: 2.4724 527/4840 [==>...........................] - ETA: 3s - loss: 10.4982 - mean_absolute_error: 2.4653 582/4840 [==>...........................] - ETA: 3s - loss: 10.4874 - mean_absolute_error: 2.4638 641/4840 [==>...........................] - ETA: 3s - loss: 10.4566 - mean_absolute_error: 2.4607 696/4840 [===>..........................] - ETA: 3s - loss: 10.4429 - mean_absolute_error: 2.4595 755/4840 [===>..........................] - ETA: 3s - loss: 10.4729 - mean_absolute_error: 2.4634 814/4840 [====>.........................] - ETA: 3s - loss: 10.4905 - mean_absolute_error: 2.4657 871/4840 [====>.........................] - ETA: 3s - loss: 10.4988 - mean_absolute_error: 2.4683 929/4840 [====>.........................] - ETA: 3s - loss: 10.4971 - mean_absolute_error: 2.4677 987/4840 [=====>........................] - ETA: 3s - loss: 10.4866 - mean_absolute_error: 2.46701042/4840 [=====>........................] - ETA: 3s - loss: 10.4491 - mean_absolute_error: 2.46151101/4840 [=====>........................] - ETA: 3s - loss: 10.4628 - mean_absolute_error: 2.46381160/4840 [======>.......................] - ETA: 3s - loss: 10.4729 - 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mean_absolute_error: 2.47714799/4840 [============================>.] - ETA: 0s - loss: 10.5860 - mean_absolute_error: 2.47694840/4840 [==============================] - 5s 930us/step - loss: 10.5878 - mean_absolute_error: 2.4768 - val_loss: 11.4848 - val_mean_absolute_error: 2.5838
Epoch 23/100
   1/4840 [..............................] - ETA: 9s - loss: 10.5226 - mean_absolute_error: 2.4384  55/4840 [..............................] - ETA: 4s - loss: 10.9973 - mean_absolute_error: 2.5274 105/4840 [..............................] - ETA: 4s - loss: 10.6897 - mean_absolute_error: 2.5019 158/4840 [..............................] - ETA: 4s - loss: 10.5012 - mean_absolute_error: 2.4714 211/4840 [>.............................] - ETA: 4s - loss: 10.5425 - mean_absolute_error: 2.4698 264/4840 [>.............................] - ETA: 4s - loss: 10.5469 - mean_absolute_error: 2.4685 320/4840 [>.............................] - ETA: 4s - loss: 10.4547 - mean_absolute_error: 2.4544 375/4840 [=>............................] - ETA: 4s - loss: 10.3844 - mean_absolute_error: 2.4458 430/4840 [=>............................] - ETA: 4s - loss: 10.4065 - mean_absolute_error: 2.4497 486/4840 [==>...........................] - ETA: 4s - loss: 10.3645 - mean_absolute_error: 2.4505 543/4840 [==>...........................] - 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mean_absolute_error: 2.47522290/4840 [=============>................] - ETA: 2s - loss: 10.5487 - mean_absolute_error: 2.47412327/4840 [=============>................] - ETA: 2s - loss: 10.5489 - mean_absolute_error: 2.47402372/4840 [=============>................] - ETA: 2s - loss: 10.5356 - mean_absolute_error: 2.47252424/4840 [==============>...............] - ETA: 2s - loss: 10.5394 - mean_absolute_error: 2.47272477/4840 [==============>...............] - ETA: 2s - loss: 10.5339 - mean_absolute_error: 2.47222526/4840 [==============>...............] - ETA: 2s - loss: 10.5253 - mean_absolute_error: 2.47082578/4840 [==============>...............] - ETA: 2s - loss: 10.5181 - mean_absolute_error: 2.46992627/4840 [===============>..............] - ETA: 2s - loss: 10.5142 - mean_absolute_error: 2.46962681/4840 [===============>..............] - ETA: 2s - loss: 10.5069 - mean_absolute_error: 2.46922736/4840 [===============>..............] - ETA: 1s - loss: 10.4944 - mean_absolute_error: 2.46662794/4840 [================>.............] - 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mean_absolute_error: 2.47153386/4840 [===================>..........] - ETA: 1s - loss: 10.5420 - mean_absolute_error: 2.47183441/4840 [====================>.........] - ETA: 1s - loss: 10.5337 - mean_absolute_error: 2.47083492/4840 [====================>.........] - ETA: 1s - loss: 10.5332 - mean_absolute_error: 2.47023546/4840 [====================>.........] - ETA: 1s - loss: 10.5394 - mean_absolute_error: 2.47113598/4840 [=====================>........] - ETA: 1s - loss: 10.5383 - mean_absolute_error: 2.47113653/4840 [=====================>........] - ETA: 1s - loss: 10.5370 - mean_absolute_error: 2.47083709/4840 [=====================>........] - ETA: 1s - loss: 10.5377 - mean_absolute_error: 2.47113766/4840 [======================>.......] - ETA: 1s - loss: 10.5361 - mean_absolute_error: 2.47043823/4840 [======================>.......] - ETA: 0s - loss: 10.5424 - mean_absolute_error: 2.47163879/4840 [=======================>......] - ETA: 0s - loss: 10.5436 - mean_absolute_error: 2.47163933/4840 [=======================>......] - ETA: 0s - loss: 10.5480 - mean_absolute_error: 2.47233986/4840 [=======================>......] - ETA: 0s - loss: 10.5465 - mean_absolute_error: 2.47224042/4840 [========================>.....] - ETA: 0s - loss: 10.5481 - mean_absolute_error: 2.47244096/4840 [========================>.....] - ETA: 0s - loss: 10.5472 - mean_absolute_error: 2.47234151/4840 [========================>.....] - ETA: 0s - loss: 10.5483 - mean_absolute_error: 2.47254207/4840 [=========================>....] - ETA: 0s - loss: 10.5512 - mean_absolute_error: 2.47254263/4840 [=========================>....] - ETA: 0s - loss: 10.5505 - mean_absolute_error: 2.47254319/4840 [=========================>....] - ETA: 0s - loss: 10.5557 - mean_absolute_error: 2.47254369/4840 [==========================>...] - ETA: 0s - loss: 10.5600 - mean_absolute_error: 2.47334419/4840 [==========================>...] - ETA: 0s - loss: 10.5587 - mean_absolute_error: 2.47304474/4840 [==========================>...] - ETA: 0s - loss: 10.5586 - mean_absolute_error: 2.47284528/4840 [===========================>..] - ETA: 0s - loss: 10.5639 - mean_absolute_error: 2.47334584/4840 [===========================>..] - ETA: 0s - loss: 10.5711 - mean_absolute_error: 2.47424641/4840 [===========================>..] - ETA: 0s - loss: 10.5638 - mean_absolute_error: 2.47324699/4840 [============================>.] - ETA: 0s - loss: 10.5565 - mean_absolute_error: 2.47244758/4840 [============================>.] - ETA: 0s - loss: 10.5600 - mean_absolute_error: 2.47284816/4840 [============================>.] - ETA: 0s - loss: 10.5685 - mean_absolute_error: 2.47424840/4840 [==============================] - 5s 981us/step - loss: 10.5710 - mean_absolute_error: 2.4745 - val_loss: 11.4774 - val_mean_absolute_error: 2.5832
Epoch 24/100
   1/4840 [..............................] - ETA: 9s - loss: 10.7384 - mean_absolute_error: 2.2674  58/4840 [..............................] - ETA: 4s - loss: 10.4537 - mean_absolute_error: 2.4403 115/4840 [..............................] - ETA: 4s - loss: 10.4283 - mean_absolute_error: 2.4393 171/4840 [>.............................] - ETA: 4s - loss: 10.5273 - mean_absolute_error: 2.4580 222/4840 [>.............................] - ETA: 4s - loss: 10.5381 - mean_absolute_error: 2.4602 267/4840 [>.............................] - ETA: 4s - loss: 10.5769 - mean_absolute_error: 2.4682 316/4840 [>.............................] - ETA: 4s - loss: 10.5939 - mean_absolute_error: 2.4731 362/4840 [=>............................] - ETA: 4s - loss: 10.6115 - mean_absolute_error: 2.4793 416/4840 [=>............................] - ETA: 4s - loss: 10.5723 - mean_absolute_error: 2.4758 471/4840 [=>............................] - ETA: 4s - loss: 10.6532 - mean_absolute_error: 2.4872 525/4840 [==>...........................] - ETA: 4s - loss: 10.6701 - mean_absolute_error: 2.4889 580/4840 [==>...........................] - ETA: 4s - loss: 10.6720 - mean_absolute_error: 2.4909 636/4840 [==>...........................] - ETA: 3s - loss: 10.6038 - mean_absolute_error: 2.4823 695/4840 [===>..........................] - ETA: 3s - loss: 10.6303 - mean_absolute_error: 2.4886 753/4840 [===>..........................] - ETA: 3s - loss: 10.6063 - mean_absolute_error: 2.4852 799/4840 [===>..........................] - ETA: 3s - loss: 10.5741 - mean_absolute_error: 2.4786 848/4840 [====>.........................] - ETA: 3s - loss: 10.6042 - mean_absolute_error: 2.4825 904/4840 [====>.........................] - ETA: 3s - loss: 10.6250 - mean_absolute_error: 2.4846 960/4840 [====>.........................] - ETA: 3s - loss: 10.5919 - mean_absolute_error: 2.48121018/4840 [=====>........................] - ETA: 3s - loss: 10.5658 - mean_absolute_error: 2.47681074/4840 [=====>........................] - ETA: 3s - loss: 10.5782 - mean_absolute_error: 2.47811129/4840 [=====>........................] - ETA: 3s - loss: 10.5632 - mean_absolute_error: 2.47561186/4840 [======>.......................] - ETA: 3s - loss: 10.5260 - mean_absolute_error: 2.47181245/4840 [======>.......................] - ETA: 3s - loss: 10.5113 - mean_absolute_error: 2.46991302/4840 [=======>......................] - ETA: 3s - loss: 10.4888 - mean_absolute_error: 2.46671359/4840 [=======>......................] - ETA: 3s - loss: 10.4839 - mean_absolute_error: 2.46641416/4840 [=======>......................] - ETA: 3s - loss: 10.4936 - mean_absolute_error: 2.46761469/4840 [========>.....................] - ETA: 3s - loss: 10.5040 - mean_absolute_error: 2.46811527/4840 [========>.....................] - ETA: 3s - loss: 10.5039 - mean_absolute_error: 2.46831584/4840 [========>.....................] - ETA: 3s - loss: 10.4899 - mean_absolute_error: 2.46591642/4840 [=========>....................] - ETA: 2s - loss: 10.5081 - mean_absolute_error: 2.46791697/4840 [=========>....................] - ETA: 2s - loss: 10.4978 - mean_absolute_error: 2.46671755/4840 [=========>....................] - ETA: 2s - loss: 10.4900 - mean_absolute_error: 2.46531813/4840 [==========>...................] - ETA: 2s - loss: 10.5061 - mean_absolute_error: 2.46711862/4840 [==========>...................] - ETA: 2s - loss: 10.4921 - mean_absolute_error: 2.46561898/4840 [==========>...................] - ETA: 2s - loss: 10.4956 - mean_absolute_error: 2.46611952/4840 [===========>..................] - ETA: 2s - loss: 10.5035 - mean_absolute_error: 2.46692010/4840 [===========>..................] - ETA: 2s - loss: 10.4889 - mean_absolute_error: 2.46412064/4840 [===========>..................] - ETA: 2s - loss: 10.4669 - mean_absolute_error: 2.46052116/4840 [============>.................] - ETA: 2s - loss: 10.4627 - mean_absolute_error: 2.45982167/4840 [============>.................] - ETA: 2s - loss: 10.4708 - mean_absolute_error: 2.46072218/4840 [============>.................] - ETA: 2s - loss: 10.4640 - mean_absolute_error: 2.46012269/4840 [=============>................] - ETA: 2s - loss: 10.4773 - mean_absolute_error: 2.46172312/4840 [=============>................] - ETA: 2s - loss: 10.4815 - mean_absolute_error: 2.46232356/4840 [=============>................] - ETA: 2s - loss: 10.4805 - mean_absolute_error: 2.46242406/4840 [=============>................] - ETA: 2s - loss: 10.4774 - mean_absolute_error: 2.46222456/4840 [==============>...............] - ETA: 2s - loss: 10.4787 - mean_absolute_error: 2.46282508/4840 [==============>...............] - ETA: 2s - loss: 10.4724 - mean_absolute_error: 2.46152558/4840 [==============>...............] - ETA: 2s - loss: 10.4856 - mean_absolute_error: 2.46382610/4840 [===============>..............] - ETA: 2s - loss: 10.4957 - mean_absolute_error: 2.46512665/4840 [===============>..............] - ETA: 2s - loss: 10.4909 - mean_absolute_error: 2.46482722/4840 [===============>..............] - ETA: 2s - loss: 10.5045 - mean_absolute_error: 2.46712779/4840 [================>.............] - ETA: 1s - loss: 10.5155 - mean_absolute_error: 2.46822836/4840 [================>.............] - ETA: 1s - loss: 10.5043 - mean_absolute_error: 2.46682893/4840 [================>.............] - ETA: 1s - loss: 10.5120 - mean_absolute_error: 2.46832950/4840 [=================>............] - ETA: 1s - loss: 10.5110 - mean_absolute_error: 2.46813007/4840 [=================>............] - ETA: 1s - loss: 10.4997 - mean_absolute_error: 2.46653063/4840 [=================>............] - ETA: 1s - loss: 10.5045 - mean_absolute_error: 2.46733113/4840 [==================>...........] - ETA: 1s - loss: 10.5029 - mean_absolute_error: 2.46683169/4840 [==================>...........] - ETA: 1s - loss: 10.5083 - mean_absolute_error: 2.46723226/4840 [==================>...........] - ETA: 1s - loss: 10.5051 - mean_absolute_error: 2.46713284/4840 [===================>..........] - ETA: 1s - loss: 10.5056 - mean_absolute_error: 2.46733342/4840 [===================>..........] - ETA: 1s - loss: 10.5055 - mean_absolute_error: 2.46723399/4840 [====================>.........] - ETA: 1s - loss: 10.5069 - mean_absolute_error: 2.46753458/4840 [====================>.........] - ETA: 1s - loss: 10.5128 - mean_absolute_error: 2.46823515/4840 [====================>.........] - ETA: 1s - loss: 10.5185 - mean_absolute_error: 2.46863573/4840 [=====================>........] - ETA: 1s - loss: 10.5243 - mean_absolute_error: 2.46943627/4840 [=====================>........] - ETA: 1s - loss: 10.5268 - mean_absolute_error: 2.46943684/4840 [=====================>........] - ETA: 1s - loss: 10.5254 - mean_absolute_error: 2.46963742/4840 [======================>.......] - ETA: 1s - loss: 10.5235 - mean_absolute_error: 2.46923800/4840 [======================>.......] - ETA: 0s - loss: 10.5224 - mean_absolute_error: 2.46883858/4840 [======================>.......] - ETA: 0s - loss: 10.5207 - mean_absolute_error: 2.46883915/4840 [=======================>......] - ETA: 0s - loss: 10.5257 - mean_absolute_error: 2.46993973/4840 [=======================>......] - ETA: 0s - loss: 10.5312 - mean_absolute_error: 2.47014031/4840 [=======================>......] - ETA: 0s - loss: 10.5358 - mean_absolute_error: 2.47074089/4840 [========================>.....] - ETA: 0s - loss: 10.5363 - mean_absolute_error: 2.47114147/4840 [========================>.....] - ETA: 0s - loss: 10.5329 - mean_absolute_error: 2.47054205/4840 [=========================>....] - ETA: 0s - loss: 10.5307 - mean_absolute_error: 2.47004263/4840 [=========================>....] - ETA: 0s - loss: 10.5335 - mean_absolute_error: 2.47034321/4840 [=========================>....] - ETA: 0s - loss: 10.5307 - mean_absolute_error: 2.47004380/4840 [==========================>...] - ETA: 0s - loss: 10.5295 - mean_absolute_error: 2.47034436/4840 [==========================>...] - ETA: 0s - loss: 10.5249 - mean_absolute_error: 2.46924493/4840 [==========================>...] - ETA: 0s - loss: 10.5329 - mean_absolute_error: 2.47044549/4840 [===========================>..] - ETA: 0s - loss: 10.5374 - mean_absolute_error: 2.47084607/4840 [===========================>..] - ETA: 0s - loss: 10.5401 - mean_absolute_error: 2.47084665/4840 [===========================>..] - ETA: 0s - loss: 10.5448 - mean_absolute_error: 2.47134722/4840 [============================>.] - ETA: 0s - loss: 10.5499 - mean_absolute_error: 2.47214779/4840 [============================>.] - ETA: 0s - loss: 10.5522 - mean_absolute_error: 2.47224837/4840 [============================>.] - ETA: 0s - loss: 10.5590 - mean_absolute_error: 2.47304840/4840 [==============================] - 5s 961us/step - loss: 10.5581 - mean_absolute_error: 2.4729 - val_loss: 11.4742 - val_mean_absolute_error: 2.5823
Epoch 25/100
   1/4840 [..............................] - ETA: 4s - loss: 14.4942 - mean_absolute_error: 2.9815  56/4840 [..............................] - ETA: 4s - loss: 10.0963 - mean_absolute_error: 2.3735 113/4840 [..............................] - ETA: 4s - loss: 10.1556 - mean_absolute_error: 2.4147 171/4840 [>.............................] - ETA: 4s - loss: 10.2569 - mean_absolute_error: 2.4284 228/4840 [>.............................] - ETA: 4s - loss: 10.3089 - mean_absolute_error: 2.4351 287/4840 [>.............................] - ETA: 3s - loss: 10.4096 - mean_absolute_error: 2.4502 345/4840 [=>............................] - ETA: 3s - loss: 10.4213 - mean_absolute_error: 2.4567 403/4840 [=>............................] - ETA: 3s - loss: 10.5015 - mean_absolute_error: 2.4651 462/4840 [=>............................] - ETA: 3s - loss: 10.4173 - mean_absolute_error: 2.4558 520/4840 [==>...........................] - ETA: 3s - loss: 10.4208 - mean_absolute_error: 2.4542 576/4840 [==>...........................] - ETA: 3s - loss: 10.4089 - mean_absolute_error: 2.4535 634/4840 [==>...........................] - ETA: 3s - loss: 10.3876 - mean_absolute_error: 2.4525 692/4840 [===>..........................] - ETA: 3s - loss: 10.4034 - mean_absolute_error: 2.4552 751/4840 [===>..........................] - ETA: 3s - loss: 10.3818 - mean_absolute_error: 2.4530 805/4840 [===>..........................] - ETA: 3s - loss: 10.4156 - mean_absolute_error: 2.4576 863/4840 [====>.........................] - ETA: 3s - loss: 10.4312 - mean_absolute_error: 2.4575 922/4840 [====>.........................] - ETA: 3s - loss: 10.4786 - mean_absolute_error: 2.4616 981/4840 [=====>........................] - ETA: 3s - loss: 10.4925 - mean_absolute_error: 2.46371039/4840 [=====>........................] - ETA: 3s - loss: 10.4999 - mean_absolute_error: 2.46391098/4840 [=====>........................] - ETA: 3s - loss: 10.4875 - mean_absolute_error: 2.46111157/4840 [======>.......................] - ETA: 3s - loss: 10.4833 - mean_absolute_error: 2.46101215/4840 [======>.......................] - ETA: 3s - loss: 10.4830 - mean_absolute_error: 2.46181273/4840 [======>.......................] - ETA: 3s - loss: 10.4827 - mean_absolute_error: 2.46091332/4840 [=======>......................] - ETA: 3s - loss: 10.4929 - mean_absolute_error: 2.46191391/4840 [=======>......................] - ETA: 3s - loss: 10.4995 - mean_absolute_error: 2.46301449/4840 [=======>......................] - ETA: 2s - loss: 10.4963 - mean_absolute_error: 2.46281508/4840 [========>.....................] - ETA: 2s - loss: 10.4787 - mean_absolute_error: 2.46121567/4840 [========>.....................] - ETA: 2s - loss: 10.4910 - mean_absolute_error: 2.46321626/4840 [=========>....................] - ETA: 2s - loss: 10.5032 - mean_absolute_error: 2.46501684/4840 [=========>....................] - ETA: 2s - loss: 10.5000 - mean_absolute_error: 2.46491743/4840 [=========>....................] - ETA: 2s - loss: 10.4708 - mean_absolute_error: 2.46151798/4840 [==========>...................] - ETA: 2s - loss: 10.4845 - mean_absolute_error: 2.46371857/4840 [==========>...................] - ETA: 2s - loss: 10.4827 - mean_absolute_error: 2.46321915/4840 [==========>...................] - ETA: 2s - loss: 10.4918 - mean_absolute_error: 2.46481972/4840 [===========>..................] - ETA: 2s - loss: 10.4930 - mean_absolute_error: 2.46472031/4840 [===========>..................] - ETA: 2s - loss: 10.4874 - mean_absolute_error: 2.46412089/4840 [===========>..................] - ETA: 2s - loss: 10.4831 - mean_absolute_error: 2.46492148/4840 [============>.................] - ETA: 2s - loss: 10.4783 - mean_absolute_error: 2.46462207/4840 [============>.................] - ETA: 2s - loss: 10.4814 - mean_absolute_error: 2.46592266/4840 [=============>................] - ETA: 2s - loss: 10.4953 - mean_absolute_error: 2.46742325/4840 [=============>................] - ETA: 2s - loss: 10.5034 - mean_absolute_error: 2.46812383/4840 [=============>................] - ETA: 2s - loss: 10.4933 - mean_absolute_error: 2.46612439/4840 [==============>...............] - ETA: 2s - loss: 10.4979 - mean_absolute_error: 2.46722484/4840 [==============>...............] - ETA: 2s - loss: 10.5031 - mean_absolute_error: 2.46742542/4840 [==============>...............] - ETA: 2s - loss: 10.5027 - mean_absolute_error: 2.46702600/4840 [===============>..............] - ETA: 1s - loss: 10.5061 - mean_absolute_error: 2.46772658/4840 [===============>..............] - ETA: 1s - loss: 10.5178 - mean_absolute_error: 2.46972717/4840 [===============>..............] - ETA: 1s - loss: 10.5254 - mean_absolute_error: 2.47092774/4840 [================>.............] - ETA: 1s - loss: 10.5201 - mean_absolute_error: 2.47022831/4840 [================>.............] - ETA: 1s - loss: 10.5133 - mean_absolute_error: 2.47002889/4840 [================>.............] - ETA: 1s - loss: 10.5116 - mean_absolute_error: 2.46972945/4840 [=================>............] - ETA: 1s - loss: 10.5083 - mean_absolute_error: 2.46913000/4840 [=================>............] - 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mean_absolute_error: 2.46863631/4840 [=====================>........] - ETA: 1s - loss: 10.5261 - mean_absolute_error: 2.46903689/4840 [=====================>........] - ETA: 1s - loss: 10.5208 - mean_absolute_error: 2.46843746/4840 [======================>.......] - ETA: 0s - loss: 10.5256 - mean_absolute_error: 2.46873804/4840 [======================>.......] - ETA: 0s - loss: 10.5351 - mean_absolute_error: 2.46993862/4840 [======================>.......] - ETA: 0s - loss: 10.5420 - mean_absolute_error: 2.47113919/4840 [=======================>......] - ETA: 0s - loss: 10.5449 - mean_absolute_error: 2.47103978/4840 [=======================>......] - ETA: 0s - loss: 10.5501 - mean_absolute_error: 2.47164034/4840 [========================>.....] - ETA: 0s - loss: 10.5534 - mean_absolute_error: 2.47224091/4840 [========================>.....] - ETA: 0s - loss: 10.5604 - mean_absolute_error: 2.47314149/4840 [========================>.....] - ETA: 0s - loss: 10.5565 - mean_absolute_error: 2.47254200/4840 [=========================>....] - ETA: 0s - loss: 10.5676 - mean_absolute_error: 2.47374250/4840 [=========================>....] - ETA: 0s - loss: 10.5674 - mean_absolute_error: 2.47374288/4840 [=========================>....] - ETA: 0s - loss: 10.5638 - mean_absolute_error: 2.47324316/4840 [=========================>....] - ETA: 0s - loss: 10.5638 - mean_absolute_error: 2.47304361/4840 [==========================>...] - ETA: 0s - loss: 10.5601 - mean_absolute_error: 2.47264407/4840 [==========================>...] - ETA: 0s - loss: 10.5594 - mean_absolute_error: 2.47224455/4840 [==========================>...] - ETA: 0s - loss: 10.5592 - mean_absolute_error: 2.47224502/4840 [==========================>...] - ETA: 0s - loss: 10.5578 - mean_absolute_error: 2.47244551/4840 [===========================>..] - ETA: 0s - loss: 10.5520 - mean_absolute_error: 2.47194599/4840 [===========================>..] - ETA: 0s - loss: 10.5503 - mean_absolute_error: 2.47184649/4840 [===========================>..] - ETA: 0s - loss: 10.5510 - mean_absolute_error: 2.47204700/4840 [============================>.] - ETA: 0s - loss: 10.5447 - mean_absolute_error: 2.47104751/4840 [============================>.] - ETA: 0s - loss: 10.5495 - mean_absolute_error: 2.47164801/4840 [============================>.] - ETA: 0s - loss: 10.5520 - mean_absolute_error: 2.47224840/4840 [==============================] - 5s 954us/step - loss: 10.5477 - mean_absolute_error: 2.4715 - val_loss: 11.4718 - val_mean_absolute_error: 2.5823
Epoch 26/100
   1/4840 [..............................] - ETA: 4s - loss: 9.4985 - mean_absolute_error: 2.0619  54/4840 [..............................] - ETA: 4s - loss: 9.9259 - mean_absolute_error: 2.3847  95/4840 [..............................] - ETA: 5s - loss: 10.1400 - mean_absolute_error: 2.4147 144/4840 [..............................] - ETA: 4s - loss: 10.2124 - mean_absolute_error: 2.4280 197/4840 [>.............................] - ETA: 4s - loss: 10.3125 - mean_absolute_error: 2.4489 251/4840 [>.............................] - ETA: 4s - loss: 10.3602 - mean_absolute_error: 2.4468 306/4840 [>.............................] - ETA: 4s - loss: 10.4481 - mean_absolute_error: 2.4603 358/4840 [=>............................] - ETA: 4s - loss: 10.4687 - mean_absolute_error: 2.4659 409/4840 [=>............................] - ETA: 4s - loss: 10.5316 - mean_absolute_error: 2.4742 460/4840 [=>............................] - ETA: 4s - loss: 10.5350 - mean_absolute_error: 2.4737 513/4840 [==>...........................] - 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mean_absolute_error: 2.46261071/4840 [=====>........................] - ETA: 3s - loss: 10.4289 - mean_absolute_error: 2.46071121/4840 [=====>........................] - ETA: 3s - loss: 10.4111 - mean_absolute_error: 2.45891174/4840 [======>.......................] - ETA: 3s - loss: 10.4458 - mean_absolute_error: 2.46401226/4840 [======>.......................] - ETA: 3s - loss: 10.4392 - mean_absolute_error: 2.46261280/4840 [======>.......................] - ETA: 3s - loss: 10.4374 - mean_absolute_error: 2.46241336/4840 [=======>......................] - ETA: 3s - loss: 10.4620 - mean_absolute_error: 2.46511391/4840 [=======>......................] - ETA: 3s - loss: 10.4601 - mean_absolute_error: 2.46361446/4840 [=======>......................] - ETA: 3s - loss: 10.4543 - mean_absolute_error: 2.46261502/4840 [========>.....................] - ETA: 3s - loss: 10.4562 - mean_absolute_error: 2.46251557/4840 [========>.....................] - ETA: 3s - loss: 10.4756 - mean_absolute_error: 2.46441612/4840 [========>.....................] - 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ETA: 2s - loss: 10.5084 - mean_absolute_error: 2.46822782/4840 [================>.............] - ETA: 1s - loss: 10.5207 - mean_absolute_error: 2.46982837/4840 [================>.............] - ETA: 1s - loss: 10.5267 - mean_absolute_error: 2.47042892/4840 [================>.............] - ETA: 1s - loss: 10.5227 - mean_absolute_error: 2.46972947/4840 [=================>............] - ETA: 1s - loss: 10.5179 - mean_absolute_error: 2.46883001/4840 [=================>............] - ETA: 1s - loss: 10.5110 - mean_absolute_error: 2.46803050/4840 [=================>............] - ETA: 1s - loss: 10.5052 - mean_absolute_error: 2.46743102/4840 [==================>...........] - ETA: 1s - loss: 10.4953 - mean_absolute_error: 2.46633154/4840 [==================>...........] - ETA: 1s - loss: 10.5005 - mean_absolute_error: 2.46693204/4840 [==================>...........] - ETA: 1s - loss: 10.4901 - mean_absolute_error: 2.46553258/4840 [===================>..........] - ETA: 1s - loss: 10.4905 - mean_absolute_error: 2.46573311/4840 [===================>..........] - ETA: 1s - loss: 10.5011 - mean_absolute_error: 2.46693365/4840 [===================>..........] - ETA: 1s - loss: 10.5016 - mean_absolute_error: 2.46693421/4840 [====================>.........] - ETA: 1s - loss: 10.5053 - mean_absolute_error: 2.46713475/4840 [====================>.........] - ETA: 1s - loss: 10.5052 - mean_absolute_error: 2.46733531/4840 [====================>.........] - ETA: 1s - loss: 10.4908 - mean_absolute_error: 2.46563586/4840 [=====================>........] - ETA: 1s - loss: 10.4881 - mean_absolute_error: 2.46513642/4840 [=====================>........] - ETA: 1s - loss: 10.4856 - mean_absolute_error: 2.46523697/4840 [=====================>........] - ETA: 1s - loss: 10.4844 - mean_absolute_error: 2.46493753/4840 [======================>.......] - ETA: 1s - loss: 10.4851 - mean_absolute_error: 2.46503807/4840 [======================>.......] - ETA: 0s - loss: 10.4772 - mean_absolute_error: 2.46413853/4840 [======================>.......] - ETA: 0s - loss: 10.4787 - mean_absolute_error: 2.46403900/4840 [=======================>......] - ETA: 0s - loss: 10.4846 - mean_absolute_error: 2.46513947/4840 [=======================>......] - ETA: 0s - loss: 10.4865 - mean_absolute_error: 2.46523994/4840 [=======================>......] - ETA: 0s - loss: 10.4937 - mean_absolute_error: 2.46624042/4840 [========================>.....] - ETA: 0s - loss: 10.4955 - mean_absolute_error: 2.46664091/4840 [========================>.....] - ETA: 0s - loss: 10.4992 - mean_absolute_error: 2.46704140/4840 [========================>.....] - ETA: 0s - loss: 10.4978 - mean_absolute_error: 2.46674188/4840 [========================>.....] - ETA: 0s - loss: 10.5117 - mean_absolute_error: 2.46844232/4840 [=========================>....] - ETA: 0s - loss: 10.5181 - mean_absolute_error: 2.46894276/4840 [=========================>....] - ETA: 0s - loss: 10.5259 - mean_absolute_error: 2.46964324/4840 [=========================>....] - ETA: 0s - loss: 10.5230 - mean_absolute_error: 2.46934373/4840 [==========================>...] - ETA: 0s - loss: 10.5227 - mean_absolute_error: 2.46914422/4840 [==========================>...] - ETA: 0s - loss: 10.5196 - mean_absolute_error: 2.46884467/4840 [==========================>...] - ETA: 0s - loss: 10.5230 - mean_absolute_error: 2.46914514/4840 [==========================>...] - ETA: 0s - loss: 10.5212 - mean_absolute_error: 2.46874561/4840 [===========================>..] - ETA: 0s - loss: 10.5209 - mean_absolute_error: 2.46834614/4840 [===========================>..] - ETA: 0s - loss: 10.5208 - mean_absolute_error: 2.46794668/4840 [===========================>..] - ETA: 0s - loss: 10.5271 - mean_absolute_error: 2.46894722/4840 [============================>.] - ETA: 0s - loss: 10.5319 - mean_absolute_error: 2.46954776/4840 [============================>.] - ETA: 0s - loss: 10.5393 - mean_absolute_error: 2.47064831/4840 [============================>.] - ETA: 0s - loss: 10.5394 - mean_absolute_error: 2.47064840/4840 [==============================] - 5s 1ms/step - loss: 10.5399 - mean_absolute_error: 2.4707 - val_loss: 11.4704 - val_mean_absolute_error: 2.5814
Epoch 27/100
   1/4840 [..............................] - ETA: 4s - loss: 6.8625 - mean_absolute_error: 2.0852  55/4840 [..............................] - ETA: 4s - loss: 10.0260 - mean_absolute_error: 2.4124 109/4840 [..............................] - ETA: 4s - loss: 10.4553 - mean_absolute_error: 2.4540 163/4840 [>.............................] - ETA: 4s - loss: 10.4348 - mean_absolute_error: 2.4416 216/4840 [>.............................] - ETA: 4s - loss: 10.2912 - mean_absolute_error: 2.4299 271/4840 [>.............................] - ETA: 4s - loss: 10.3580 - mean_absolute_error: 2.4382 325/4840 [=>............................] - ETA: 4s - loss: 10.3930 - mean_absolute_error: 2.4446 380/4840 [=>............................] - ETA: 4s - loss: 10.4836 - mean_absolute_error: 2.4601 435/4840 [=>............................] - ETA: 4s - loss: 10.4809 - mean_absolute_error: 2.4591 490/4840 [==>...........................] - ETA: 4s - loss: 10.4792 - mean_absolute_error: 2.4622 546/4840 [==>...........................] - 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ETA: 0s - loss: 10.5025 - mean_absolute_error: 2.46404098/4840 [========================>.....] - ETA: 0s - loss: 10.5128 - mean_absolute_error: 2.46554151/4840 [========================>.....] - ETA: 0s - loss: 10.5042 - mean_absolute_error: 2.46454207/4840 [=========================>....] - ETA: 0s - loss: 10.5039 - mean_absolute_error: 2.46474264/4840 [=========================>....] - ETA: 0s - loss: 10.5051 - mean_absolute_error: 2.46484320/4840 [=========================>....] - ETA: 0s - loss: 10.5090 - mean_absolute_error: 2.46574376/4840 [==========================>...] - ETA: 0s - loss: 10.5128 - mean_absolute_error: 2.46624431/4840 [==========================>...] - ETA: 0s - loss: 10.5190 - mean_absolute_error: 2.46704487/4840 [==========================>...] - ETA: 0s - loss: 10.5247 - mean_absolute_error: 2.46774542/4840 [===========================>..] - ETA: 0s - loss: 10.5252 - mean_absolute_error: 2.46794596/4840 [===========================>..] - ETA: 0s - loss: 10.5192 - mean_absolute_error: 2.46694651/4840 [===========================>..] - ETA: 0s - loss: 10.5222 - mean_absolute_error: 2.46714706/4840 [============================>.] - ETA: 0s - loss: 10.5197 - mean_absolute_error: 2.46684761/4840 [============================>.] - ETA: 0s - loss: 10.5302 - mean_absolute_error: 2.46814818/4840 [============================>.] - ETA: 0s - loss: 10.5323 - mean_absolute_error: 2.46844840/4840 [==============================] - 5s 957us/step - loss: 10.5334 - mean_absolute_error: 2.4685 - val_loss: 11.4699 - val_mean_absolute_error: 2.5814
Epoch 28/100
   1/4840 [..............................] - ETA: 9s - loss: 7.0249 - mean_absolute_error: 2.0139  50/4840 [..............................] - ETA: 4s - loss: 10.1293 - mean_absolute_error: 2.4415 106/4840 [..............................] - ETA: 4s - loss: 10.2927 - mean_absolute_error: 2.4493 161/4840 [..............................] - ETA: 4s - loss: 10.4942 - mean_absolute_error: 2.4679 217/4840 [>.............................] - ETA: 4s - loss: 10.5431 - mean_absolute_error: 2.4708 272/4840 [>.............................] - ETA: 4s - loss: 10.4799 - mean_absolute_error: 2.4682 327/4840 [=>............................] - ETA: 4s - loss: 10.4346 - mean_absolute_error: 2.4620 383/4840 [=>............................] - ETA: 4s - loss: 10.4249 - mean_absolute_error: 2.4626 439/4840 [=>............................] - ETA: 4s - loss: 10.4580 - mean_absolute_error: 2.4678 495/4840 [==>...........................] - ETA: 3s - loss: 10.4348 - mean_absolute_error: 2.4600 547/4840 [==>...........................] - 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mean_absolute_error: 2.46402227/4840 [============>.................] - ETA: 2s - loss: 10.5073 - mean_absolute_error: 2.46482284/4840 [=============>................] - ETA: 2s - loss: 10.5019 - mean_absolute_error: 2.46362341/4840 [=============>................] - ETA: 2s - loss: 10.5030 - mean_absolute_error: 2.46362397/4840 [=============>................] - ETA: 2s - loss: 10.4919 - mean_absolute_error: 2.46212452/4840 [==============>...............] - ETA: 2s - loss: 10.5053 - mean_absolute_error: 2.46432505/4840 [==============>...............] - ETA: 2s - loss: 10.5024 - mean_absolute_error: 2.46392561/4840 [==============>...............] - ETA: 2s - loss: 10.5099 - mean_absolute_error: 2.46512616/4840 [===============>..............] - ETA: 2s - loss: 10.5061 - mean_absolute_error: 2.46432671/4840 [===============>..............] - ETA: 2s - loss: 10.5069 - mean_absolute_error: 2.46502726/4840 [===============>..............] - ETA: 1s - loss: 10.4953 - mean_absolute_error: 2.46282780/4840 [================>.............] - 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mean_absolute_error: 2.46543305/4840 [===================>..........] - ETA: 1s - loss: 10.5194 - mean_absolute_error: 2.46573360/4840 [===================>..........] - ETA: 1s - loss: 10.5087 - mean_absolute_error: 2.46453414/4840 [====================>.........] - ETA: 1s - loss: 10.5065 - mean_absolute_error: 2.46413469/4840 [====================>.........] - ETA: 1s - loss: 10.5160 - mean_absolute_error: 2.46563523/4840 [====================>.........] - ETA: 1s - loss: 10.5098 - mean_absolute_error: 2.46483578/4840 [=====================>........] - ETA: 1s - loss: 10.5101 - mean_absolute_error: 2.46463632/4840 [=====================>........] - ETA: 1s - loss: 10.5011 - mean_absolute_error: 2.46353686/4840 [=====================>........] - ETA: 1s - loss: 10.5033 - mean_absolute_error: 2.46403739/4840 [======================>.......] - ETA: 1s - loss: 10.5050 - mean_absolute_error: 2.46413794/4840 [======================>.......] - ETA: 0s - loss: 10.5087 - mean_absolute_error: 2.46483847/4840 [======================>.......] - ETA: 0s - loss: 10.5128 - mean_absolute_error: 2.46553899/4840 [=======================>......] - ETA: 0s - loss: 10.5173 - mean_absolute_error: 2.46593949/4840 [=======================>......] - ETA: 0s - loss: 10.5123 - mean_absolute_error: 2.46513999/4840 [=======================>......] - ETA: 0s - loss: 10.5150 - mean_absolute_error: 2.46594044/4840 [========================>.....] - ETA: 0s - loss: 10.5157 - mean_absolute_error: 2.46604092/4840 [========================>.....] - ETA: 0s - loss: 10.5177 - mean_absolute_error: 2.46654139/4840 [========================>.....] - ETA: 0s - loss: 10.5254 - mean_absolute_error: 2.46734188/4840 [========================>.....] - ETA: 0s - loss: 10.5278 - mean_absolute_error: 2.46804236/4840 [=========================>....] - ETA: 0s - loss: 10.5275 - mean_absolute_error: 2.46854282/4840 [=========================>....] - ETA: 0s - loss: 10.5285 - mean_absolute_error: 2.46864330/4840 [=========================>....] - ETA: 0s - loss: 10.5310 - mean_absolute_error: 2.46884381/4840 [==========================>...] - ETA: 0s - loss: 10.5283 - mean_absolute_error: 2.46864433/4840 [==========================>...] - ETA: 0s - loss: 10.5262 - mean_absolute_error: 2.46844484/4840 [==========================>...] - ETA: 0s - loss: 10.5231 - mean_absolute_error: 2.46784537/4840 [===========================>..] - ETA: 0s - loss: 10.5202 - mean_absolute_error: 2.46734588/4840 [===========================>..] - ETA: 0s - loss: 10.5242 - mean_absolute_error: 2.46804641/4840 [===========================>..] - ETA: 0s - loss: 10.5270 - mean_absolute_error: 2.46814693/4840 [============================>.] - ETA: 0s - loss: 10.5209 - mean_absolute_error: 2.46724746/4840 [============================>.] - ETA: 0s - loss: 10.5240 - mean_absolute_error: 2.46774801/4840 [============================>.] - ETA: 0s - loss: 10.5231 - mean_absolute_error: 2.46764840/4840 [==============================] - 5s 1ms/step - loss: 10.5278 - mean_absolute_error: 2.4682 - val_loss: 11.4693 - val_mean_absolute_error: 2.5818
Epoch 29/100
   1/4840 [..............................] - ETA: 9s - loss: 10.0479 - mean_absolute_error: 2.5846  59/4840 [..............................] - ETA: 4s - loss: 10.3793 - mean_absolute_error: 2.4892 116/4840 [..............................] - ETA: 4s - loss: 10.2125 - mean_absolute_error: 2.4525 172/4840 [>.............................] - ETA: 4s - loss: 10.0967 - mean_absolute_error: 2.4359 229/4840 [>.............................] - ETA: 4s - loss: 10.0884 - mean_absolute_error: 2.4220 262/4840 [>.............................] - ETA: 4s - loss: 10.1579 - mean_absolute_error: 2.4292 306/4840 [>.............................] - ETA: 4s - loss: 10.1357 - mean_absolute_error: 2.4267 347/4840 [=>............................] - ETA: 4s - loss: 10.1477 - mean_absolute_error: 2.4278 390/4840 [=>............................] - ETA: 4s - loss: 10.2760 - mean_absolute_error: 2.4425 436/4840 [=>............................] - ETA: 4s - loss: 10.3134 - mean_absolute_error: 2.4429 482/4840 [=>............................] - 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mean_absolute_error: 2.46694367/4840 [==========================>...] - ETA: 0s - loss: 10.5162 - mean_absolute_error: 2.46724423/4840 [==========================>...] - ETA: 0s - loss: 10.5133 - mean_absolute_error: 2.46694479/4840 [==========================>...] - ETA: 0s - loss: 10.5158 - mean_absolute_error: 2.46714534/4840 [===========================>..] - ETA: 0s - loss: 10.5114 - mean_absolute_error: 2.46664590/4840 [===========================>..] - ETA: 0s - loss: 10.5133 - mean_absolute_error: 2.46674645/4840 [===========================>..] - ETA: 0s - loss: 10.5232 - mean_absolute_error: 2.46794699/4840 [============================>.] - ETA: 0s - loss: 10.5235 - mean_absolute_error: 2.46814754/4840 [============================>.] - ETA: 0s - loss: 10.5256 - mean_absolute_error: 2.46824807/4840 [============================>.] - ETA: 0s - loss: 10.5228 - mean_absolute_error: 2.46814840/4840 [==============================] - 5s 1ms/step - loss: 10.5240 - mean_absolute_error: 2.4680 - val_loss: 11.4671 - val_mean_absolute_error: 2.5805
Epoch 30/100
   1/4840 [..............................] - ETA: 9s - loss: 8.1640 - mean_absolute_error: 2.0043  59/4840 [..............................] - ETA: 4s - loss: 10.2601 - mean_absolute_error: 2.4255 115/4840 [..............................] - ETA: 4s - loss: 10.3421 - mean_absolute_error: 2.4358 171/4840 [>.............................] - ETA: 4s - loss: 10.3749 - mean_absolute_error: 2.4467 227/4840 [>.............................] - ETA: 4s - loss: 10.4814 - mean_absolute_error: 2.4604 284/4840 [>.............................] - ETA: 4s - loss: 10.5164 - mean_absolute_error: 2.4674 339/4840 [=>............................] - ETA: 4s - loss: 10.5242 - mean_absolute_error: 2.4678 395/4840 [=>............................] - ETA: 3s - loss: 10.5101 - mean_absolute_error: 2.4653 450/4840 [=>............................] - ETA: 3s - loss: 10.5194 - mean_absolute_error: 2.4674 507/4840 [==>...........................] - ETA: 3s - loss: 10.5004 - mean_absolute_error: 2.4633 563/4840 [==>...........................] - 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mean_absolute_error: 2.46544683/4840 [============================>.] - ETA: 0s - loss: 10.5105 - mean_absolute_error: 2.46504740/4840 [============================>.] - ETA: 0s - loss: 10.5097 - mean_absolute_error: 2.46464796/4840 [============================>.] - ETA: 0s - loss: 10.5175 - mean_absolute_error: 2.46544840/4840 [==============================] - 5s 948us/step - loss: 10.5202 - mean_absolute_error: 2.4657 - val_loss: 11.4677 - val_mean_absolute_error: 2.5808
Epoch 31/100
   1/4840 [..............................] - ETA: 4s - loss: 10.5803 - mean_absolute_error: 2.4790  58/4840 [..............................] - ETA: 4s - loss: 9.4594 - mean_absolute_error: 2.3252  116/4840 [..............................] - ETA: 4s - loss: 9.8851 - mean_absolute_error: 2.3797 171/4840 [>.............................] - ETA: 4s - loss: 10.0484 - mean_absolute_error: 2.4025 225/4840 [>.............................] - ETA: 4s - loss: 9.9971 - mean_absolute_error: 2.3991  280/4840 [>.............................] - ETA: 4s - loss: 10.0315 - mean_absolute_error: 2.4042 336/4840 [=>............................] - ETA: 4s - loss: 10.0929 - mean_absolute_error: 2.4142 391/4840 [=>............................] - ETA: 4s - loss: 10.0884 - mean_absolute_error: 2.4107 447/4840 [=>............................] - ETA: 3s - loss: 10.1837 - mean_absolute_error: 2.4228 503/4840 [==>...........................] - ETA: 3s - loss: 10.1761 - mean_absolute_error: 2.4198 559/4840 [==>...........................] - ETA: 3s - loss: 10.2036 - mean_absolute_error: 2.4266 613/4840 [==>...........................] - ETA: 3s - loss: 10.2102 - mean_absolute_error: 2.4285 670/4840 [===>..........................] - ETA: 3s - loss: 10.2715 - mean_absolute_error: 2.4348 728/4840 [===>..........................] - ETA: 3s - loss: 10.2595 - mean_absolute_error: 2.4330 784/4840 [===>..........................] - ETA: 3s - loss: 10.2603 - mean_absolute_error: 2.4309 840/4840 [====>.........................] - ETA: 3s - loss: 10.2695 - mean_absolute_error: 2.4302 896/4840 [====>.........................] - ETA: 3s - loss: 10.2941 - mean_absolute_error: 2.4346 953/4840 [====>.........................] - ETA: 3s - loss: 10.3242 - mean_absolute_error: 2.43751009/4840 [=====>........................] - ETA: 3s - loss: 10.3287 - mean_absolute_error: 2.43801065/4840 [=====>........................] - ETA: 3s - loss: 10.3434 - mean_absolute_error: 2.43991120/4840 [=====>........................] - ETA: 3s - loss: 10.3692 - 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ETA: 2s - loss: 10.3545 - mean_absolute_error: 2.44461790/4840 [==========>...................] - ETA: 2s - loss: 10.3457 - mean_absolute_error: 2.44331847/4840 [==========>...................] - ETA: 2s - loss: 10.3449 - mean_absolute_error: 2.44331903/4840 [==========>...................] - ETA: 2s - loss: 10.3551 - mean_absolute_error: 2.44431958/4840 [===========>..................] - ETA: 2s - loss: 10.3479 - mean_absolute_error: 2.44352012/4840 [===========>..................] - ETA: 2s - loss: 10.3424 - mean_absolute_error: 2.44252069/4840 [===========>..................] - ETA: 2s - loss: 10.3355 - mean_absolute_error: 2.44242125/4840 [============>.................] - ETA: 2s - loss: 10.3376 - mean_absolute_error: 2.44152181/4840 [============>.................] - ETA: 2s - loss: 10.3317 - mean_absolute_error: 2.44102236/4840 [============>.................] - ETA: 2s - loss: 10.3420 - mean_absolute_error: 2.44202293/4840 [=============>................] - ETA: 2s - loss: 10.3402 - 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mean_absolute_error: 2.45323520/4840 [====================>.........] - ETA: 1s - loss: 10.4318 - mean_absolute_error: 2.45423575/4840 [=====================>........] - ETA: 1s - loss: 10.4324 - mean_absolute_error: 2.45423631/4840 [=====================>........] - ETA: 1s - loss: 10.4231 - mean_absolute_error: 2.45273686/4840 [=====================>........] - ETA: 1s - loss: 10.4277 - mean_absolute_error: 2.45353744/4840 [======================>.......] - ETA: 0s - loss: 10.4258 - mean_absolute_error: 2.45303800/4840 [======================>.......] - ETA: 0s - loss: 10.4259 - mean_absolute_error: 2.45313856/4840 [======================>.......] - ETA: 0s - loss: 10.4250 - mean_absolute_error: 2.45303911/4840 [=======================>......] - ETA: 0s - loss: 10.4371 - mean_absolute_error: 2.45453967/4840 [=======================>......] - ETA: 0s - loss: 10.4405 - mean_absolute_error: 2.45554024/4840 [=======================>......] - ETA: 0s - loss: 10.4501 - mean_absolute_error: 2.45704080/4840 [========================>.....] - 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mean_absolute_error: 2.46334693/4840 [============================>.] - ETA: 0s - loss: 10.5052 - mean_absolute_error: 2.46314749/4840 [============================>.] - ETA: 0s - loss: 10.5104 - mean_absolute_error: 2.46374805/4840 [============================>.] - ETA: 0s - loss: 10.5105 - mean_absolute_error: 2.46374840/4840 [==============================] - 5s 944us/step - loss: 10.5179 - mean_absolute_error: 2.4646 - val_loss: 11.4734 - val_mean_absolute_error: 2.5819
Epoch 32/100
   1/4840 [..............................] - ETA: 9s - loss: 12.8528 - mean_absolute_error: 2.6719  59/4840 [..............................] - ETA: 4s - loss: 10.3100 - mean_absolute_error: 2.4618 115/4840 [..............................] - ETA: 4s - loss: 10.2835 - mean_absolute_error: 2.4566 171/4840 [>.............................] - ETA: 4s - loss: 10.0274 - mean_absolute_error: 2.4208 226/4840 [>.............................] - ETA: 4s - loss: 10.1026 - mean_absolute_error: 2.4206 280/4840 [>.............................] - ETA: 4s - loss: 10.2028 - mean_absolute_error: 2.4314 335/4840 [=>............................] - ETA: 4s - loss: 10.1265 - mean_absolute_error: 2.4189 390/4840 [=>............................] - ETA: 4s - loss: 10.1746 - mean_absolute_error: 2.4231 445/4840 [=>............................] - ETA: 3s - loss: 10.2181 - mean_absolute_error: 2.4289 501/4840 [==>...........................] - ETA: 3s - loss: 10.2714 - mean_absolute_error: 2.4384 557/4840 [==>...........................] - 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mean_absolute_error: 2.46654641/4840 [===========================>..] - ETA: 0s - loss: 10.5089 - mean_absolute_error: 2.46564696/4840 [============================>.] - ETA: 0s - loss: 10.5151 - mean_absolute_error: 2.46644753/4840 [============================>.] - ETA: 0s - loss: 10.5141 - mean_absolute_error: 2.46654810/4840 [============================>.] - ETA: 0s - loss: 10.5142 - mean_absolute_error: 2.46684840/4840 [==============================] - 5s 957us/step - loss: 10.5144 - mean_absolute_error: 2.4668 - val_loss: 11.4716 - val_mean_absolute_error: 2.5802
Epoch 33/100
   1/4840 [..............................] - ETA: 4s - loss: 12.6985 - mean_absolute_error: 2.7203  56/4840 [..............................] - ETA: 4s - loss: 10.3609 - mean_absolute_error: 2.4509 113/4840 [..............................] - ETA: 4s - loss: 10.4218 - mean_absolute_error: 2.4454 170/4840 [>.............................] - ETA: 4s - loss: 10.4827 - mean_absolute_error: 2.4605 226/4840 [>.............................] - ETA: 4s - loss: 10.4639 - mean_absolute_error: 2.4625 282/4840 [>.............................] - ETA: 4s - loss: 10.4316 - mean_absolute_error: 2.4567 336/4840 [=>............................] - ETA: 4s - loss: 10.3608 - mean_absolute_error: 2.4457 391/4840 [=>............................] - ETA: 4s - loss: 10.3163 - mean_absolute_error: 2.4393 446/4840 [=>............................] - ETA: 3s - loss: 10.3272 - mean_absolute_error: 2.4388 502/4840 [==>...........................] - ETA: 3s - loss: 10.3540 - mean_absolute_error: 2.4435 558/4840 [==>...........................] - 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ETA: 2s - loss: 10.4670 - mean_absolute_error: 2.45661783/4840 [==========>...................] - ETA: 2s - loss: 10.4635 - mean_absolute_error: 2.45621839/4840 [==========>...................] - ETA: 2s - loss: 10.4720 - mean_absolute_error: 2.45801896/4840 [==========>...................] - ETA: 2s - loss: 10.4667 - mean_absolute_error: 2.45641952/4840 [===========>..................] - ETA: 2s - loss: 10.4531 - mean_absolute_error: 2.45562007/4840 [===========>..................] - ETA: 2s - loss: 10.4702 - mean_absolute_error: 2.45802062/4840 [===========>..................] - ETA: 2s - loss: 10.4804 - mean_absolute_error: 2.46002117/4840 [============>.................] - ETA: 2s - loss: 10.4896 - mean_absolute_error: 2.46182171/4840 [============>.................] - ETA: 2s - loss: 10.4870 - mean_absolute_error: 2.46132226/4840 [============>.................] - ETA: 2s - loss: 10.4752 - mean_absolute_error: 2.45952282/4840 [=============>................] - ETA: 2s - loss: 10.4722 - 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mean_absolute_error: 2.46604683/4840 [============================>.] - ETA: 0s - loss: 10.5148 - mean_absolute_error: 2.46554741/4840 [============================>.] - ETA: 0s - loss: 10.5157 - mean_absolute_error: 2.46554797/4840 [============================>.] - ETA: 0s - loss: 10.5165 - mean_absolute_error: 2.46574840/4840 [==============================] - 5s 948us/step - loss: 10.5125 - mean_absolute_error: 2.4652 - val_loss: 11.4754 - val_mean_absolute_error: 2.5808
Epoch 34/100
   1/4840 [..............................] - ETA: 9s - loss: 18.2995 - mean_absolute_error: 3.3663  57/4840 [..............................] - ETA: 4s - loss: 11.0438 - mean_absolute_error: 2.5154 112/4840 [..............................] - ETA: 4s - loss: 10.8606 - mean_absolute_error: 2.5138 169/4840 [>.............................] - ETA: 4s - loss: 10.8652 - mean_absolute_error: 2.5081 227/4840 [>.............................] - ETA: 4s - loss: 10.8165 - mean_absolute_error: 2.5042 283/4840 [>.............................] - ETA: 4s - loss: 10.6542 - mean_absolute_error: 2.4858 340/4840 [=>............................] - ETA: 4s - loss: 10.6856 - mean_absolute_error: 2.4870 393/4840 [=>............................] - ETA: 4s - loss: 10.6924 - mean_absolute_error: 2.4893 450/4840 [=>............................] - ETA: 3s - loss: 10.6505 - mean_absolute_error: 2.4835 504/4840 [==>...........................] - ETA: 3s - loss: 10.7230 - mean_absolute_error: 2.4916 560/4840 [==>...........................] - 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mean_absolute_error: 2.46394682/4840 [============================>.] - ETA: 0s - loss: 10.5124 - mean_absolute_error: 2.46464738/4840 [============================>.] - ETA: 0s - loss: 10.5086 - mean_absolute_error: 2.46404795/4840 [============================>.] - ETA: 0s - loss: 10.5072 - mean_absolute_error: 2.46364840/4840 [==============================] - 5s 947us/step - loss: 10.5115 - mean_absolute_error: 2.4638 - val_loss: 11.4780 - val_mean_absolute_error: 2.5808
Epoch 35/100
   1/4840 [..............................] - ETA: 9s - loss: 12.2338 - mean_absolute_error: 2.7454  59/4840 [..............................] - ETA: 4s - loss: 10.1253 - mean_absolute_error: 2.4222 114/4840 [..............................] - ETA: 4s - loss: 10.2776 - mean_absolute_error: 2.4407 170/4840 [>.............................] - ETA: 4s - loss: 10.4065 - mean_absolute_error: 2.4560 225/4840 [>.............................] - ETA: 4s - loss: 10.4193 - mean_absolute_error: 2.4542 281/4840 [>.............................] - ETA: 4s - loss: 10.3927 - mean_absolute_error: 2.4536 337/4840 [=>............................] - ETA: 4s - loss: 10.3553 - mean_absolute_error: 2.4512 393/4840 [=>............................] - ETA: 3s - loss: 10.3568 - mean_absolute_error: 2.4528 448/4840 [=>............................] - ETA: 3s - loss: 10.4100 - mean_absolute_error: 2.4604 504/4840 [==>...........................] - ETA: 3s - loss: 10.4519 - mean_absolute_error: 2.4633 561/4840 [==>...........................] - 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mean_absolute_error: 2.46304689/4840 [============================>.] - ETA: 0s - loss: 10.5062 - mean_absolute_error: 2.46314745/4840 [============================>.] - ETA: 0s - loss: 10.5084 - mean_absolute_error: 2.46334802/4840 [============================>.] - ETA: 0s - loss: 10.5118 - mean_absolute_error: 2.46394840/4840 [==============================] - 5s 948us/step - loss: 10.5106 - mean_absolute_error: 2.4637 - val_loss: 11.4741 - val_mean_absolute_error: 2.5809
Epoch 36/100
   1/4840 [..............................] - ETA: 4s - loss: 17.5949 - mean_absolute_error: 3.3344  55/4840 [..............................] - ETA: 4s - loss: 10.9283 - mean_absolute_error: 2.5287 111/4840 [..............................] - ETA: 4s - loss: 10.7506 - mean_absolute_error: 2.5112 166/4840 [>.............................] - ETA: 4s - loss: 10.6567 - mean_absolute_error: 2.5002 212/4840 [>.............................] - ETA: 4s - loss: 10.5320 - mean_absolute_error: 2.4718 265/4840 [>.............................] - ETA: 4s - loss: 10.5329 - mean_absolute_error: 2.4751 320/4840 [>.............................] - ETA: 4s - loss: 10.4390 - mean_absolute_error: 2.4648 374/4840 [=>............................] - ETA: 4s - loss: 10.4584 - mean_absolute_error: 2.4687 430/4840 [=>............................] - ETA: 4s - loss: 10.4761 - mean_absolute_error: 2.4673 485/4840 [==>...........................] - ETA: 4s - loss: 10.4775 - mean_absolute_error: 2.4691 538/4840 [==>...........................] - ETA: 4s - loss: 10.5108 - mean_absolute_error: 2.4695 591/4840 [==>...........................] - ETA: 3s - loss: 10.4721 - mean_absolute_error: 2.4650 647/4840 [===>..........................] - ETA: 3s - loss: 10.4530 - mean_absolute_error: 2.4634 702/4840 [===>..........................] - ETA: 3s - loss: 10.4489 - mean_absolute_error: 2.4622 757/4840 [===>..........................] - ETA: 3s - loss: 10.4483 - mean_absolute_error: 2.4611 813/4840 [====>.........................] - ETA: 3s - loss: 10.4821 - mean_absolute_error: 2.4666 868/4840 [====>.........................] - ETA: 3s - loss: 10.4543 - mean_absolute_error: 2.4630 920/4840 [====>.........................] - ETA: 3s - loss: 10.4551 - mean_absolute_error: 2.4616 973/4840 [=====>........................] - ETA: 3s - loss: 10.4732 - mean_absolute_error: 2.46311028/4840 [=====>........................] - ETA: 3s - loss: 10.4574 - mean_absolute_error: 2.46121084/4840 [=====>........................] - ETA: 3s - loss: 10.4205 - mean_absolute_error: 2.45601139/4840 [======>.......................] - ETA: 3s - loss: 10.3918 - mean_absolute_error: 2.45261195/4840 [======>.......................] - ETA: 3s - loss: 10.4011 - mean_absolute_error: 2.45461250/4840 [======>.......................] - ETA: 3s - loss: 10.4191 - mean_absolute_error: 2.45701304/4840 [=======>......................] - ETA: 3s - loss: 10.4364 - mean_absolute_error: 2.45941359/4840 [=======>......................] - ETA: 3s - loss: 10.4450 - mean_absolute_error: 2.46161414/4840 [=======>......................] - ETA: 3s - loss: 10.4772 - mean_absolute_error: 2.46531470/4840 [========>.....................] - ETA: 3s - loss: 10.5010 - mean_absolute_error: 2.46811528/4840 [========>.....................] - ETA: 3s - loss: 10.4737 - mean_absolute_error: 2.46401584/4840 [========>.....................] - ETA: 2s - loss: 10.4994 - mean_absolute_error: 2.46811642/4840 [=========>....................] - ETA: 2s - loss: 10.5274 - mean_absolute_error: 2.47121698/4840 [=========>....................] - ETA: 2s - loss: 10.5105 - mean_absolute_error: 2.46801754/4840 [=========>....................] - ETA: 2s - loss: 10.5125 - mean_absolute_error: 2.46791810/4840 [==========>...................] - ETA: 2s - loss: 10.5215 - mean_absolute_error: 2.47021867/4840 [==========>...................] - ETA: 2s - loss: 10.5153 - mean_absolute_error: 2.46871920/4840 [==========>...................] - ETA: 2s - loss: 10.5149 - mean_absolute_error: 2.46801962/4840 [===========>..................] - ETA: 2s - loss: 10.5080 - mean_absolute_error: 2.46702006/4840 [===========>..................] - ETA: 2s - loss: 10.5015 - mean_absolute_error: 2.46602050/4840 [===========>..................] - ETA: 2s - loss: 10.4863 - mean_absolute_error: 2.46412088/4840 [===========>..................] - ETA: 2s - loss: 10.4906 - mean_absolute_error: 2.46442134/4840 [============>.................] - ETA: 2s - loss: 10.4801 - mean_absolute_error: 2.46322181/4840 [============>.................] - ETA: 2s - loss: 10.4858 - mean_absolute_error: 2.46382232/4840 [============>.................] - ETA: 2s - loss: 10.4889 - mean_absolute_error: 2.46452284/4840 [=============>................] - ETA: 2s - loss: 10.4963 - mean_absolute_error: 2.46602335/4840 [=============>................] - ETA: 2s - loss: 10.4989 - mean_absolute_error: 2.46672389/4840 [=============>................] - ETA: 2s - loss: 10.4902 - mean_absolute_error: 2.46562443/4840 [==============>...............] - ETA: 2s - loss: 10.4907 - mean_absolute_error: 2.46522499/4840 [==============>...............] - ETA: 2s - loss: 10.4981 - mean_absolute_error: 2.46672554/4840 [==============>...............] - ETA: 2s - loss: 10.5119 - mean_absolute_error: 2.46872611/4840 [===============>..............] - ETA: 2s - loss: 10.5206 - mean_absolute_error: 2.47082666/4840 [===============>..............] - ETA: 2s - loss: 10.5271 - mean_absolute_error: 2.47132722/4840 [===============>..............] - ETA: 1s - loss: 10.5376 - mean_absolute_error: 2.47232780/4840 [================>.............] - ETA: 1s - loss: 10.5391 - mean_absolute_error: 2.47272838/4840 [================>.............] - ETA: 1s - loss: 10.5394 - mean_absolute_error: 2.47292894/4840 [================>.............] - ETA: 1s - loss: 10.5435 - mean_absolute_error: 2.47312951/4840 [=================>............] - ETA: 1s - loss: 10.5315 - mean_absolute_error: 2.47183005/4840 [=================>............] - ETA: 1s - loss: 10.5382 - mean_absolute_error: 2.47263062/4840 [=================>............] - ETA: 1s - loss: 10.5384 - mean_absolute_error: 2.47233119/4840 [==================>...........] - ETA: 1s - loss: 10.5381 - mean_absolute_error: 2.47203174/4840 [==================>...........] - ETA: 1s - loss: 10.5307 - mean_absolute_error: 2.47063229/4840 [===================>..........] - ETA: 1s - loss: 10.5332 - mean_absolute_error: 2.47113284/4840 [===================>..........] - ETA: 1s - loss: 10.5382 - mean_absolute_error: 2.47133339/4840 [===================>..........] - ETA: 1s - loss: 10.5386 - mean_absolute_error: 2.47123395/4840 [====================>.........] - ETA: 1s - loss: 10.5353 - mean_absolute_error: 2.47103449/4840 [====================>.........] - ETA: 1s - loss: 10.5361 - mean_absolute_error: 2.47113504/4840 [====================>.........] - ETA: 1s - loss: 10.5395 - mean_absolute_error: 2.47173560/4840 [=====================>........] - ETA: 1s - loss: 10.5434 - mean_absolute_error: 2.47223617/4840 [=====================>........] - ETA: 1s - loss: 10.5425 - mean_absolute_error: 2.47203674/4840 [=====================>........] - ETA: 1s - loss: 10.5396 - mean_absolute_error: 2.47143730/4840 [======================>.......] - ETA: 1s - loss: 10.5354 - mean_absolute_error: 2.47003787/4840 [======================>.......] - ETA: 0s - loss: 10.5395 - mean_absolute_error: 2.47043844/4840 [======================>.......] - ETA: 0s - loss: 10.5384 - mean_absolute_error: 2.47043900/4840 [=======================>......] - ETA: 0s - loss: 10.5392 - mean_absolute_error: 2.47043957/4840 [=======================>......] - ETA: 0s - loss: 10.5418 - mean_absolute_error: 2.47064013/4840 [=======================>......] - ETA: 0s - loss: 10.5376 - mean_absolute_error: 2.46964070/4840 [========================>.....] - ETA: 0s - loss: 10.5409 - mean_absolute_error: 2.47004126/4840 [========================>.....] - ETA: 0s - loss: 10.5395 - mean_absolute_error: 2.46984182/4840 [========================>.....] - ETA: 0s - loss: 10.5424 - mean_absolute_error: 2.47004239/4840 [=========================>....] - ETA: 0s - loss: 10.5438 - mean_absolute_error: 2.47004295/4840 [=========================>....] - ETA: 0s - loss: 10.5376 - mean_absolute_error: 2.46944351/4840 [=========================>....] - ETA: 0s - loss: 10.5332 - mean_absolute_error: 2.46884407/4840 [==========================>...] - ETA: 0s - loss: 10.5352 - mean_absolute_error: 2.46914463/4840 [==========================>...] - ETA: 0s - loss: 10.5308 - mean_absolute_error: 2.46864517/4840 [==========================>...] - ETA: 0s - loss: 10.5227 - mean_absolute_error: 2.46744573/4840 [===========================>..] - ETA: 0s - loss: 10.5227 - mean_absolute_error: 2.46754628/4840 [===========================>..] - ETA: 0s - loss: 10.5148 - mean_absolute_error: 2.46644684/4840 [============================>.] - ETA: 0s - loss: 10.5178 - mean_absolute_error: 2.46694740/4840 [============================>.] - ETA: 0s - loss: 10.5159 - mean_absolute_error: 2.46684798/4840 [============================>.] - ETA: 0s - loss: 10.5130 - mean_absolute_error: 2.46604840/4840 [==============================] - 5s 967us/step - loss: 10.5083 - mean_absolute_error: 2.4654 - val_loss: 11.4771 - val_mean_absolute_error: 2.5804
Epoch 37/100
   1/4840 [..............................] - ETA: 4s - loss: 7.3123 - mean_absolute_error: 2.0803  59/4840 [..............................] - ETA: 4s - loss: 9.8248 - mean_absolute_error: 2.3846 115/4840 [..............................] - ETA: 4s - loss: 10.0443 - mean_absolute_error: 2.4184 170/4840 [>.............................] - ETA: 4s - loss: 10.2815 - mean_absolute_error: 2.4394 226/4840 [>.............................] - ETA: 4s - loss: 10.1805 - mean_absolute_error: 2.4282 281/4840 [>.............................] - ETA: 4s - loss: 10.1708 - mean_absolute_error: 2.4241 337/4840 [=>............................] - ETA: 4s - loss: 10.2901 - mean_absolute_error: 2.4371 393/4840 [=>............................] - ETA: 3s - loss: 10.3191 - mean_absolute_error: 2.4416 450/4840 [=>............................] - ETA: 3s - loss: 10.2758 - mean_absolute_error: 2.4354 506/4840 [==>...........................] - ETA: 3s - loss: 10.2707 - mean_absolute_error: 2.4347 560/4840 [==>...........................] - 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mean_absolute_error: 2.46294711/4840 [============================>.] - ETA: 0s - loss: 10.5090 - mean_absolute_error: 2.46314767/4840 [============================>.] - ETA: 0s - loss: 10.5121 - mean_absolute_error: 2.46364823/4840 [============================>.] - ETA: 0s - loss: 10.5061 - mean_absolute_error: 2.46324840/4840 [==============================] - 5s 943us/step - loss: 10.5081 - mean_absolute_error: 2.4634 - val_loss: 11.4776 - val_mean_absolute_error: 2.5809
Epoch 38/100
   1/4840 [..............................] - ETA: 9s - loss: 10.2554 - mean_absolute_error: 2.5720  57/4840 [..............................] - ETA: 4s - loss: 10.5538 - mean_absolute_error: 2.4714 113/4840 [..............................] - ETA: 4s - loss: 10.3734 - mean_absolute_error: 2.4599 170/4840 [>.............................] - ETA: 4s - loss: 10.3436 - mean_absolute_error: 2.4478 225/4840 [>.............................] - ETA: 4s - loss: 10.4564 - mean_absolute_error: 2.4613 281/4840 [>.............................] - ETA: 4s - loss: 10.5092 - mean_absolute_error: 2.4701 337/4840 [=>............................] - ETA: 4s - loss: 10.5365 - mean_absolute_error: 2.4709 394/4840 [=>............................] - ETA: 3s - loss: 10.5263 - mean_absolute_error: 2.4688 451/4840 [=>............................] - ETA: 3s - loss: 10.5577 - mean_absolute_error: 2.4726 506/4840 [==>...........................] - ETA: 3s - loss: 10.5591 - mean_absolute_error: 2.4728 560/4840 [==>...........................] - 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ETA: 2s - loss: 10.5631 - mean_absolute_error: 2.46981781/4840 [==========>...................] - ETA: 2s - loss: 10.5786 - mean_absolute_error: 2.47241837/4840 [==========>...................] - ETA: 2s - loss: 10.5522 - mean_absolute_error: 2.46861892/4840 [==========>...................] - ETA: 2s - loss: 10.5615 - mean_absolute_error: 2.46981948/4840 [===========>..................] - ETA: 2s - loss: 10.5552 - mean_absolute_error: 2.46802004/4840 [===========>..................] - ETA: 2s - loss: 10.5500 - mean_absolute_error: 2.46702060/4840 [===========>..................] - ETA: 2s - loss: 10.5581 - mean_absolute_error: 2.46772115/4840 [============>.................] - ETA: 2s - loss: 10.5561 - mean_absolute_error: 2.46722169/4840 [============>.................] - ETA: 2s - loss: 10.5548 - mean_absolute_error: 2.46782224/4840 [============>.................] - ETA: 2s - loss: 10.5503 - mean_absolute_error: 2.46762278/4840 [=============>................] - ETA: 2s - loss: 10.5503 - 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ETA: 1s - loss: 10.5091 - mean_absolute_error: 2.46432947/4840 [=================>............] - ETA: 1s - loss: 10.5103 - mean_absolute_error: 2.46443003/4840 [=================>............] - ETA: 1s - loss: 10.5048 - mean_absolute_error: 2.46363058/4840 [=================>............] - ETA: 1s - loss: 10.4885 - mean_absolute_error: 2.46203112/4840 [==================>...........] - ETA: 1s - loss: 10.4933 - mean_absolute_error: 2.46253167/4840 [==================>...........] - ETA: 1s - loss: 10.4958 - mean_absolute_error: 2.46343222/4840 [==================>...........] - ETA: 1s - loss: 10.4921 - mean_absolute_error: 2.46253276/4840 [===================>..........] - ETA: 1s - loss: 10.5009 - mean_absolute_error: 2.46333330/4840 [===================>..........] - ETA: 1s - loss: 10.4970 - mean_absolute_error: 2.46293385/4840 [===================>..........] - ETA: 1s - loss: 10.5052 - mean_absolute_error: 2.46373441/4840 [====================>.........] - ETA: 1s - loss: 10.5130 - mean_absolute_error: 2.46543498/4840 [====================>.........] - ETA: 1s - loss: 10.5119 - mean_absolute_error: 2.46543553/4840 [=====================>........] - ETA: 1s - loss: 10.5113 - mean_absolute_error: 2.46523610/4840 [=====================>........] - ETA: 1s - loss: 10.4987 - mean_absolute_error: 2.46353666/4840 [=====================>........] - ETA: 1s - loss: 10.4976 - mean_absolute_error: 2.46343722/4840 [======================>.......] - ETA: 1s - loss: 10.4931 - mean_absolute_error: 2.46303778/4840 [======================>.......] - ETA: 0s - loss: 10.4900 - mean_absolute_error: 2.46253832/4840 [======================>.......] - ETA: 0s - loss: 10.4875 - mean_absolute_error: 2.46203887/4840 [=======================>......] - ETA: 0s - loss: 10.4790 - mean_absolute_error: 2.46083941/4840 [=======================>......] - ETA: 0s - loss: 10.4871 - mean_absolute_error: 2.46193995/4840 [=======================>......] - ETA: 0s - loss: 10.4895 - mean_absolute_error: 2.46224050/4840 [========================>.....] - 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mean_absolute_error: 2.46254668/4840 [===========================>..] - ETA: 0s - loss: 10.4969 - mean_absolute_error: 2.46294724/4840 [============================>.] - ETA: 0s - loss: 10.5091 - mean_absolute_error: 2.46424779/4840 [============================>.] - ETA: 0s - loss: 10.5080 - mean_absolute_error: 2.46404837/4840 [============================>.] - ETA: 0s - loss: 10.5058 - mean_absolute_error: 2.46374840/4840 [==============================] - 5s 950us/step - loss: 10.5063 - mean_absolute_error: 2.4638 - val_loss: 11.4773 - val_mean_absolute_error: 2.5801
Epoch 39/100
   1/4840 [..............................] - ETA: 4s - loss: 5.9955 - mean_absolute_error: 1.9835  49/4840 [..............................] - ETA: 5s - loss: 10.3887 - mean_absolute_error: 2.4712 101/4840 [..............................] - ETA: 4s - loss: 10.1571 - mean_absolute_error: 2.4294 156/4840 [..............................] - ETA: 4s - loss: 10.2108 - mean_absolute_error: 2.4319 210/4840 [>.............................] - ETA: 4s - loss: 10.2501 - mean_absolute_error: 2.4421 265/4840 [>.............................] - ETA: 4s - loss: 10.3710 - mean_absolute_error: 2.4608 320/4840 [>.............................] - ETA: 4s - loss: 10.3508 - mean_absolute_error: 2.4562 374/4840 [=>............................] - ETA: 4s - loss: 10.3551 - mean_absolute_error: 2.4550 429/4840 [=>............................] - ETA: 4s - loss: 10.3621 - mean_absolute_error: 2.4507 485/4840 [==>...........................] - ETA: 4s - loss: 10.3210 - mean_absolute_error: 2.4466 540/4840 [==>...........................] - 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ETA: 0s - loss: 10.5053 - mean_absolute_error: 2.46264050/4840 [========================>.....] - ETA: 0s - loss: 10.5098 - mean_absolute_error: 2.46354106/4840 [========================>.....] - ETA: 0s - loss: 10.5041 - mean_absolute_error: 2.46324161/4840 [========================>.....] - ETA: 0s - loss: 10.5039 - mean_absolute_error: 2.46314219/4840 [=========================>....] - ETA: 0s - loss: 10.4964 - mean_absolute_error: 2.46224276/4840 [=========================>....] - ETA: 0s - loss: 10.5029 - mean_absolute_error: 2.46314333/4840 [=========================>....] - ETA: 0s - loss: 10.5087 - mean_absolute_error: 2.46364391/4840 [==========================>...] - ETA: 0s - loss: 10.4997 - mean_absolute_error: 2.46284445/4840 [==========================>...] - ETA: 0s - loss: 10.4994 - mean_absolute_error: 2.46244501/4840 [==========================>...] - ETA: 0s - loss: 10.5022 - mean_absolute_error: 2.46294556/4840 [===========================>..] - ETA: 0s - loss: 10.4957 - mean_absolute_error: 2.46194612/4840 [===========================>..] - ETA: 0s - loss: 10.5043 - mean_absolute_error: 2.46304669/4840 [===========================>..] - ETA: 0s - loss: 10.5063 - mean_absolute_error: 2.46304722/4840 [============================>.] - ETA: 0s - loss: 10.5048 - mean_absolute_error: 2.46254777/4840 [============================>.] - ETA: 0s - loss: 10.5023 - mean_absolute_error: 2.46254833/4840 [============================>.] - ETA: 0s - loss: 10.5040 - mean_absolute_error: 2.46254840/4840 [==============================] - 5s 962us/step - loss: 10.5067 - mean_absolute_error: 2.4628 - val_loss: 11.4802 - val_mean_absolute_error: 2.5809
Epoch 40/100
   1/4840 [..............................] - ETA: 9s - loss: 7.4276 - mean_absolute_error: 2.1182  58/4840 [..............................] - ETA: 4s - loss: 10.8179 - mean_absolute_error: 2.4986 115/4840 [..............................] - ETA: 4s - loss: 10.8359 - mean_absolute_error: 2.5074 172/4840 [>.............................] - ETA: 4s - loss: 10.5499 - mean_absolute_error: 2.4832 230/4840 [>.............................] - ETA: 4s - loss: 10.6702 - mean_absolute_error: 2.4949 286/4840 [>.............................] - ETA: 4s - loss: 10.6745 - mean_absolute_error: 2.4958 342/4840 [=>............................] - ETA: 3s - loss: 10.6371 - mean_absolute_error: 2.4913 398/4840 [=>............................] - ETA: 3s - loss: 10.5737 - mean_absolute_error: 2.4802 452/4840 [=>............................] - ETA: 3s - loss: 10.6461 - mean_absolute_error: 2.4878 508/4840 [==>...........................] - ETA: 3s - loss: 10.6527 - mean_absolute_error: 2.4872 563/4840 [==>...........................] - 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ETA: 0s - loss: 10.4976 - mean_absolute_error: 2.46194110/4840 [========================>.....] - ETA: 0s - loss: 10.5046 - mean_absolute_error: 2.46284166/4840 [========================>.....] - ETA: 0s - loss: 10.5080 - mean_absolute_error: 2.46324223/4840 [=========================>....] - ETA: 0s - loss: 10.5046 - mean_absolute_error: 2.46284280/4840 [=========================>....] - ETA: 0s - loss: 10.5010 - mean_absolute_error: 2.46204337/4840 [=========================>....] - ETA: 0s - loss: 10.4959 - mean_absolute_error: 2.46114394/4840 [==========================>...] - ETA: 0s - loss: 10.5006 - mean_absolute_error: 2.46174450/4840 [==========================>...] - ETA: 0s - loss: 10.5054 - mean_absolute_error: 2.46244506/4840 [==========================>...] - ETA: 0s - loss: 10.5039 - mean_absolute_error: 2.46234563/4840 [===========================>..] - ETA: 0s - loss: 10.5064 - mean_absolute_error: 2.46264619/4840 [===========================>..] - ETA: 0s - loss: 10.5114 - mean_absolute_error: 2.46324675/4840 [===========================>..] - ETA: 0s - loss: 10.5152 - mean_absolute_error: 2.46354732/4840 [============================>.] - ETA: 0s - loss: 10.5110 - mean_absolute_error: 2.46324787/4840 [============================>.] - ETA: 0s - loss: 10.5099 - mean_absolute_error: 2.46324840/4840 [==============================] - 5s 949us/step - loss: 10.5061 - mean_absolute_error: 2.4627 - val_loss: 11.4789 - val_mean_absolute_error: 2.5807
Epoch 41/100
   1/4840 [..............................] - ETA: 4s - loss: 7.8591 - mean_absolute_error: 2.2331  57/4840 [..............................] - ETA: 4s - loss: 10.6651 - mean_absolute_error: 2.4744 111/4840 [..............................] - ETA: 4s - loss: 10.5135 - mean_absolute_error: 2.4583 166/4840 [>.............................] - ETA: 4s - loss: 10.5342 - mean_absolute_error: 2.4598 222/4840 [>.............................] - ETA: 4s - loss: 10.5360 - mean_absolute_error: 2.4532 275/4840 [>.............................] - ETA: 4s - loss: 10.6331 - mean_absolute_error: 2.4652 330/4840 [=>............................] - ETA: 4s - loss: 10.6131 - mean_absolute_error: 2.4646 386/4840 [=>............................] - ETA: 4s - loss: 10.5021 - mean_absolute_error: 2.4543 441/4840 [=>............................] - ETA: 4s - loss: 10.4497 - mean_absolute_error: 2.4481 495/4840 [==>...........................] - ETA: 3s - loss: 10.4036 - mean_absolute_error: 2.4432 551/4840 [==>...........................] - ETA: 3s - loss: 10.3556 - mean_absolute_error: 2.4364 608/4840 [==>...........................] - ETA: 3s - loss: 10.3718 - mean_absolute_error: 2.4406 666/4840 [===>..........................] - ETA: 3s - loss: 10.3832 - mean_absolute_error: 2.4427 722/4840 [===>..........................] - ETA: 3s - loss: 10.4250 - mean_absolute_error: 2.4484 778/4840 [===>..........................] - ETA: 3s - loss: 10.4010 - mean_absolute_error: 2.4458 834/4840 [====>.........................] - ETA: 3s - loss: 10.3815 - mean_absolute_error: 2.4452 891/4840 [====>.........................] - ETA: 3s - loss: 10.3978 - mean_absolute_error: 2.4484 946/4840 [====>.........................] - ETA: 3s - loss: 10.4101 - mean_absolute_error: 2.45001002/4840 [=====>........................] - ETA: 3s - loss: 10.4481 - mean_absolute_error: 2.45331056/4840 [=====>........................] - ETA: 3s - loss: 10.4738 - mean_absolute_error: 2.45661111/4840 [=====>........................] - ETA: 3s - loss: 10.4460 - 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ETA: 2s - loss: 10.5159 - mean_absolute_error: 2.46361783/4840 [==========>...................] - ETA: 2s - loss: 10.5031 - mean_absolute_error: 2.46201838/4840 [==========>...................] - ETA: 2s - loss: 10.5007 - mean_absolute_error: 2.46201895/4840 [==========>...................] - ETA: 2s - loss: 10.5064 - mean_absolute_error: 2.46251951/4840 [===========>..................] - ETA: 2s - loss: 10.5117 - mean_absolute_error: 2.46302007/4840 [===========>..................] - ETA: 2s - loss: 10.5185 - mean_absolute_error: 2.46412063/4840 [===========>..................] - ETA: 2s - loss: 10.5011 - mean_absolute_error: 2.46192119/4840 [============>.................] - ETA: 2s - loss: 10.4981 - mean_absolute_error: 2.46052171/4840 [============>.................] - ETA: 2s - loss: 10.4978 - mean_absolute_error: 2.46052226/4840 [============>.................] - ETA: 2s - loss: 10.5019 - mean_absolute_error: 2.46122281/4840 [=============>................] - ETA: 2s - loss: 10.5097 - 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mean_absolute_error: 2.46224671/4840 [===========================>..] - ETA: 0s - loss: 10.5002 - mean_absolute_error: 2.46254726/4840 [============================>.] - ETA: 0s - loss: 10.5056 - mean_absolute_error: 2.46314784/4840 [============================>.] - ETA: 0s - loss: 10.4999 - mean_absolute_error: 2.46234840/4840 [==============================] - 5s 948us/step - loss: 10.5050 - mean_absolute_error: 2.4629 - val_loss: 11.4776 - val_mean_absolute_error: 2.5804
Epoch 42/100
   1/4840 [..............................] - ETA: 4s - loss: 7.5033 - mean_absolute_error: 2.0380  58/4840 [..............................] - ETA: 4s - loss: 10.1388 - mean_absolute_error: 2.4211 115/4840 [..............................] - ETA: 4s - loss: 10.4114 - mean_absolute_error: 2.4489 173/4840 [>.............................] - ETA: 4s - loss: 10.5915 - mean_absolute_error: 2.4753 230/4840 [>.............................] - ETA: 4s - loss: 10.4241 - mean_absolute_error: 2.4541 284/4840 [>.............................] - ETA: 4s - loss: 10.4686 - mean_absolute_error: 2.4601 340/4840 [=>............................] - ETA: 4s - loss: 10.3965 - mean_absolute_error: 2.4540 396/4840 [=>............................] - ETA: 3s - loss: 10.3769 - mean_absolute_error: 2.4509 450/4840 [=>............................] - ETA: 3s - loss: 10.4043 - mean_absolute_error: 2.4515 504/4840 [==>...........................] - ETA: 3s - loss: 10.4770 - mean_absolute_error: 2.4616 556/4840 [==>...........................] - 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mean_absolute_error: 2.46384668/4840 [===========================>..] - ETA: 0s - loss: 10.5127 - mean_absolute_error: 2.46414724/4840 [============================>.] - ETA: 0s - loss: 10.5102 - mean_absolute_error: 2.46374780/4840 [============================>.] - ETA: 0s - loss: 10.5058 - mean_absolute_error: 2.46324833/4840 [============================>.] - ETA: 0s - loss: 10.5046 - mean_absolute_error: 2.46274840/4840 [==============================] - 5s 952us/step - loss: 10.5049 - mean_absolute_error: 2.4628 - val_loss: 11.4773 - val_mean_absolute_error: 2.5804
Epoch 43/100
   1/4840 [..............................] - ETA: 9s - loss: 14.1372 - mean_absolute_error: 2.9860  58/4840 [..............................] - ETA: 4s - loss: 10.3874 - mean_absolute_error: 2.4522 115/4840 [..............................] - ETA: 4s - loss: 10.4749 - mean_absolute_error: 2.4614 172/4840 [>.............................] - ETA: 4s - loss: 10.2561 - mean_absolute_error: 2.4277 228/4840 [>.............................] - ETA: 4s - loss: 10.1539 - mean_absolute_error: 2.4142 284/4840 [>.............................] - ETA: 4s - loss: 10.2243 - mean_absolute_error: 2.4226 341/4840 [=>............................] - ETA: 3s - loss: 10.3271 - mean_absolute_error: 2.4411 399/4840 [=>............................] - ETA: 3s - loss: 10.4013 - mean_absolute_error: 2.4516 455/4840 [=>............................] - ETA: 3s - loss: 10.4612 - mean_absolute_error: 2.4559 512/4840 [==>...........................] - ETA: 3s - loss: 10.4183 - mean_absolute_error: 2.4507 569/4840 [==>...........................] - 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mean_absolute_error: 2.44321183/4840 [======>.......................] - ETA: 3s - loss: 10.3711 - mean_absolute_error: 2.44561240/4840 [======>.......................] - ETA: 3s - loss: 10.3399 - mean_absolute_error: 2.44261295/4840 [=======>......................] - ETA: 3s - loss: 10.3305 - mean_absolute_error: 2.44121352/4840 [=======>......................] - ETA: 3s - loss: 10.3350 - mean_absolute_error: 2.44231407/4840 [=======>......................] - ETA: 3s - loss: 10.3415 - mean_absolute_error: 2.44251465/4840 [========>.....................] - ETA: 3s - loss: 10.3323 - mean_absolute_error: 2.44141521/4840 [========>.....................] - ETA: 2s - loss: 10.3609 - mean_absolute_error: 2.44521578/4840 [========>.....................] - ETA: 2s - loss: 10.3742 - mean_absolute_error: 2.44631635/4840 [=========>....................] - ETA: 2s - loss: 10.3806 - mean_absolute_error: 2.44701691/4840 [=========>....................] - ETA: 2s - loss: 10.4037 - mean_absolute_error: 2.45061747/4840 [=========>....................] - 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mean_absolute_error: 2.45653535/4840 [====================>.........] - ETA: 1s - loss: 10.4658 - mean_absolute_error: 2.45763590/4840 [=====================>........] - ETA: 1s - loss: 10.4693 - mean_absolute_error: 2.45823645/4840 [=====================>........] - ETA: 1s - loss: 10.4707 - mean_absolute_error: 2.45803703/4840 [=====================>........] - ETA: 1s - loss: 10.4733 - mean_absolute_error: 2.45813760/4840 [======================>.......] - ETA: 0s - loss: 10.4745 - mean_absolute_error: 2.45813817/4840 [======================>.......] - ETA: 0s - loss: 10.4755 - mean_absolute_error: 2.45853873/4840 [=======================>......] - ETA: 0s - loss: 10.4789 - mean_absolute_error: 2.45923929/4840 [=======================>......] - ETA: 0s - loss: 10.4732 - mean_absolute_error: 2.45843986/4840 [=======================>......] - ETA: 0s - loss: 10.4773 - mean_absolute_error: 2.45914041/4840 [========================>.....] - ETA: 0s - loss: 10.4747 - mean_absolute_error: 2.45894096/4840 [========================>.....] - ETA: 0s - loss: 10.4825 - mean_absolute_error: 2.46044151/4840 [========================>.....] - ETA: 0s - loss: 10.4826 - mean_absolute_error: 2.46054206/4840 [=========================>....] - ETA: 0s - loss: 10.4785 - mean_absolute_error: 2.46004262/4840 [=========================>....] - ETA: 0s - loss: 10.4800 - mean_absolute_error: 2.46044316/4840 [=========================>....] - ETA: 0s - loss: 10.4853 - mean_absolute_error: 2.46134371/4840 [==========================>...] - ETA: 0s - loss: 10.4843 - mean_absolute_error: 2.46104427/4840 [==========================>...] - ETA: 0s - loss: 10.4905 - mean_absolute_error: 2.46234482/4840 [==========================>...] - ETA: 0s - loss: 10.4952 - mean_absolute_error: 2.46254537/4840 [===========================>..] - ETA: 0s - loss: 10.5025 - mean_absolute_error: 2.46334593/4840 [===========================>..] - ETA: 0s - loss: 10.5012 - mean_absolute_error: 2.46294649/4840 [===========================>..] - ETA: 0s - loss: 10.5059 - mean_absolute_error: 2.46334705/4840 [============================>.] - ETA: 0s - loss: 10.5030 - mean_absolute_error: 2.46304762/4840 [============================>.] - ETA: 0s - loss: 10.5023 - mean_absolute_error: 2.46294820/4840 [============================>.] - ETA: 0s - loss: 10.5046 - mean_absolute_error: 2.46294840/4840 [==============================] - 5s 942us/step - loss: 10.5049 - mean_absolute_error: 2.4628 - val_loss: 11.4783 - val_mean_absolute_error: 2.5801
Epoch 44/100
   1/4840 [..............................] - ETA: 4s - loss: 12.6336 - mean_absolute_error: 2.5371  55/4840 [..............................] - ETA: 4s - loss: 10.1908 - mean_absolute_error: 2.3987 112/4840 [..............................] - ETA: 4s - loss: 10.0619 - mean_absolute_error: 2.4030 168/4840 [>.............................] - ETA: 4s - loss: 10.1681 - mean_absolute_error: 2.4170 224/4840 [>.............................] - ETA: 4s - loss: 10.2697 - mean_absolute_error: 2.4282 280/4840 [>.............................] - ETA: 4s - loss: 10.3610 - mean_absolute_error: 2.4397 335/4840 [=>............................] - ETA: 4s - loss: 10.3924 - mean_absolute_error: 2.4424 388/4840 [=>............................] - ETA: 4s - loss: 10.3400 - mean_absolute_error: 2.4371 444/4840 [=>............................] - ETA: 3s - loss: 10.2884 - mean_absolute_error: 2.4324 499/4840 [==>...........................] - ETA: 3s - loss: 10.2868 - mean_absolute_error: 2.4322 555/4840 [==>...........................] - 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mean_absolute_error: 2.46254694/4840 [============================>.] - ETA: 0s - loss: 10.5050 - mean_absolute_error: 2.46294750/4840 [============================>.] - ETA: 0s - loss: 10.5030 - mean_absolute_error: 2.46264801/4840 [============================>.] - ETA: 0s - loss: 10.5066 - mean_absolute_error: 2.46304840/4840 [==============================] - 5s 947us/step - loss: 10.5045 - mean_absolute_error: 2.4627 - val_loss: 11.4806 - val_mean_absolute_error: 2.5803
Epoch 45/100
   1/4840 [..............................] - ETA: 4s - loss: 7.9506 - mean_absolute_error: 2.0380  53/4840 [..............................] - ETA: 4s - loss: 10.6224 - mean_absolute_error: 2.4631 102/4840 [..............................] - ETA: 4s - loss: 10.5260 - mean_absolute_error: 2.4542 148/4840 [..............................] - ETA: 4s - loss: 10.4941 - mean_absolute_error: 2.4482 198/4840 [>.............................] - ETA: 4s - loss: 10.4502 - mean_absolute_error: 2.4471 247/4840 [>.............................] - ETA: 4s - loss: 10.4864 - mean_absolute_error: 2.4515 297/4840 [>.............................] - ETA: 4s - loss: 10.4085 - mean_absolute_error: 2.4401 350/4840 [=>............................] - ETA: 4s - loss: 10.4221 - mean_absolute_error: 2.4433 406/4840 [=>............................] - ETA: 4s - loss: 10.5078 - mean_absolute_error: 2.4545 461/4840 [=>............................] - ETA: 4s - loss: 10.5220 - mean_absolute_error: 2.4593 515/4840 [==>...........................] - 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ETA: 1s - loss: 10.4646 - mean_absolute_error: 2.45572807/4840 [================>.............] - ETA: 1s - loss: 10.4548 - mean_absolute_error: 2.45432860/4840 [================>.............] - ETA: 1s - loss: 10.4448 - mean_absolute_error: 2.45342914/4840 [=================>............] - ETA: 1s - loss: 10.4495 - mean_absolute_error: 2.45452968/4840 [=================>............] - ETA: 1s - loss: 10.4428 - mean_absolute_error: 2.45393024/4840 [=================>............] - ETA: 1s - loss: 10.4581 - mean_absolute_error: 2.45593079/4840 [==================>...........] - ETA: 1s - loss: 10.4568 - mean_absolute_error: 2.45633134/4840 [==================>...........] - ETA: 1s - loss: 10.4659 - mean_absolute_error: 2.45733189/4840 [==================>...........] - ETA: 1s - loss: 10.4660 - mean_absolute_error: 2.45713245/4840 [===================>..........] - ETA: 1s - loss: 10.4684 - mean_absolute_error: 2.45773302/4840 [===================>..........] - ETA: 1s - loss: 10.4769 - 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ETA: 0s - loss: 10.5062 - mean_absolute_error: 2.46293965/4840 [=======================>......] - ETA: 0s - loss: 10.5110 - mean_absolute_error: 2.46334020/4840 [=======================>......] - ETA: 0s - loss: 10.5134 - mean_absolute_error: 2.46384074/4840 [========================>.....] - ETA: 0s - loss: 10.5149 - mean_absolute_error: 2.46454130/4840 [========================>.....] - ETA: 0s - loss: 10.5146 - mean_absolute_error: 2.46474187/4840 [========================>.....] - ETA: 0s - loss: 10.5126 - mean_absolute_error: 2.46494243/4840 [=========================>....] - ETA: 0s - loss: 10.5079 - mean_absolute_error: 2.46444299/4840 [=========================>....] - ETA: 0s - loss: 10.5111 - mean_absolute_error: 2.46444355/4840 [=========================>....] - ETA: 0s - loss: 10.5108 - mean_absolute_error: 2.46434411/4840 [==========================>...] - ETA: 0s - loss: 10.5116 - mean_absolute_error: 2.46444468/4840 [==========================>...] - ETA: 0s - loss: 10.5060 - mean_absolute_error: 2.46404524/4840 [===========================>..] - ETA: 0s - loss: 10.5063 - mean_absolute_error: 2.46394581/4840 [===========================>..] - ETA: 0s - loss: 10.5085 - mean_absolute_error: 2.46394637/4840 [===========================>..] - ETA: 0s - loss: 10.5118 - mean_absolute_error: 2.46414695/4840 [============================>.] - ETA: 0s - loss: 10.4987 - mean_absolute_error: 2.46194750/4840 [============================>.] - ETA: 0s - loss: 10.4989 - mean_absolute_error: 2.46204804/4840 [============================>.] - ETA: 0s - loss: 10.5015 - mean_absolute_error: 2.46214840/4840 [==============================] - 5s 977us/step - loss: 10.5045 - mean_absolute_error: 2.4626 - val_loss: 11.4793 - val_mean_absolute_error: 2.5800
Epoch 46/100
   1/4840 [..............................] - ETA: 9s - loss: 7.2883 - mean_absolute_error: 2.1499  56/4840 [..............................] - ETA: 4s - loss: 10.2925 - mean_absolute_error: 2.4326 110/4840 [..............................] - ETA: 4s - loss: 10.1048 - mean_absolute_error: 2.4201 165/4840 [>.............................] - ETA: 4s - loss: 10.3166 - mean_absolute_error: 2.4446 221/4840 [>.............................] - ETA: 4s - loss: 10.3869 - mean_absolute_error: 2.4546 277/4840 [>.............................] - ETA: 4s - loss: 10.4014 - mean_absolute_error: 2.4597 333/4840 [=>............................] - ETA: 4s - loss: 10.3949 - mean_absolute_error: 2.4603 389/4840 [=>............................] - ETA: 4s - loss: 10.4471 - mean_absolute_error: 2.4643 446/4840 [=>............................] - ETA: 3s - loss: 10.3863 - mean_absolute_error: 2.4542 502/4840 [==>...........................] - ETA: 3s - loss: 10.4201 - mean_absolute_error: 2.4580 558/4840 [==>...........................] - ETA: 3s - loss: 10.4083 - mean_absolute_error: 2.4577 615/4840 [==>...........................] - ETA: 3s - loss: 10.4331 - mean_absolute_error: 2.4582 671/4840 [===>..........................] - ETA: 3s - loss: 10.4532 - mean_absolute_error: 2.4608 728/4840 [===>..........................] - ETA: 3s - loss: 10.4542 - mean_absolute_error: 2.4610 785/4840 [===>..........................] - ETA: 3s - loss: 10.4425 - mean_absolute_error: 2.4600 837/4840 [====>.........................] - ETA: 3s - loss: 10.4854 - mean_absolute_error: 2.4662 892/4840 [====>.........................] - ETA: 3s - loss: 10.4604 - mean_absolute_error: 2.4633 948/4840 [====>.........................] - ETA: 3s - loss: 10.5387 - mean_absolute_error: 2.47261004/4840 [=====>........................] - ETA: 3s - loss: 10.5414 - mean_absolute_error: 2.47221059/4840 [=====>........................] - ETA: 3s - loss: 10.5306 - mean_absolute_error: 2.46951115/4840 [=====>........................] - ETA: 3s - loss: 10.5288 - mean_absolute_error: 2.46811170/4840 [======>.......................] - ETA: 3s - loss: 10.5264 - mean_absolute_error: 2.46841226/4840 [======>.......................] - ETA: 3s - loss: 10.5436 - mean_absolute_error: 2.47141281/4840 [======>.......................] - ETA: 3s - loss: 10.5463 - mean_absolute_error: 2.47151337/4840 [=======>......................] - ETA: 3s - loss: 10.5371 - mean_absolute_error: 2.46971394/4840 [=======>......................] - ETA: 3s - loss: 10.5662 - mean_absolute_error: 2.47361451/4840 [=======>......................] - ETA: 3s - loss: 10.5518 - mean_absolute_error: 2.47111507/4840 [========>.....................] - ETA: 3s - loss: 10.5266 - mean_absolute_error: 2.46821562/4840 [========>.....................] - ETA: 2s - loss: 10.5152 - mean_absolute_error: 2.46571618/4840 [=========>....................] - ETA: 2s - loss: 10.5417 - mean_absolute_error: 2.46761675/4840 [=========>....................] - ETA: 2s - loss: 10.5124 - mean_absolute_error: 2.46321733/4840 [=========>....................] - ETA: 2s - loss: 10.5004 - mean_absolute_error: 2.46201789/4840 [==========>...................] - ETA: 2s - loss: 10.5001 - mean_absolute_error: 2.46171847/4840 [==========>...................] - ETA: 2s - loss: 10.5121 - mean_absolute_error: 2.46441902/4840 [==========>...................] - ETA: 2s - loss: 10.5082 - mean_absolute_error: 2.46421955/4840 [===========>..................] - ETA: 2s - loss: 10.4974 - mean_absolute_error: 2.46322011/4840 [===========>..................] - ETA: 2s - loss: 10.4765 - mean_absolute_error: 2.45952065/4840 [===========>..................] - ETA: 2s - loss: 10.4658 - mean_absolute_error: 2.45812120/4840 [============>.................] - ETA: 2s - loss: 10.4545 - mean_absolute_error: 2.45612176/4840 [============>.................] - ETA: 2s - loss: 10.4630 - mean_absolute_error: 2.45772229/4840 [============>.................] - ETA: 2s - loss: 10.4743 - mean_absolute_error: 2.45892284/4840 [=============>................] - ETA: 2s - loss: 10.4725 - 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mean_absolute_error: 2.46023497/4840 [====================>.........] - ETA: 1s - loss: 10.4823 - mean_absolute_error: 2.45993552/4840 [=====================>........] - ETA: 1s - loss: 10.4800 - mean_absolute_error: 2.45973608/4840 [=====================>........] - ETA: 1s - loss: 10.4959 - mean_absolute_error: 2.46153663/4840 [=====================>........] - ETA: 1s - loss: 10.4918 - mean_absolute_error: 2.46113718/4840 [======================>.......] - ETA: 1s - loss: 10.4894 - mean_absolute_error: 2.46073772/4840 [======================>.......] - ETA: 0s - loss: 10.4928 - mean_absolute_error: 2.46133829/4840 [======================>.......] - ETA: 0s - loss: 10.4936 - mean_absolute_error: 2.46123884/4840 [=======================>......] - ETA: 0s - loss: 10.5057 - mean_absolute_error: 2.46243942/4840 [=======================>......] - ETA: 0s - loss: 10.5127 - mean_absolute_error: 2.46333998/4840 [=======================>......] - ETA: 0s - loss: 10.5131 - mean_absolute_error: 2.46364052/4840 [========================>.....] - 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mean_absolute_error: 2.46304659/4840 [===========================>..] - ETA: 0s - loss: 10.5094 - mean_absolute_error: 2.46294714/4840 [============================>.] - ETA: 0s - loss: 10.5078 - mean_absolute_error: 2.46264771/4840 [============================>.] - ETA: 0s - loss: 10.5071 - mean_absolute_error: 2.46264829/4840 [============================>.] - ETA: 0s - loss: 10.5034 - mean_absolute_error: 2.46194840/4840 [==============================] - 5s 953us/step - loss: 10.5043 - mean_absolute_error: 2.4621 - val_loss: 11.4809 - val_mean_absolute_error: 2.5806
Epoch 47/100
   1/4840 [..............................] - ETA: 4s - loss: 14.4826 - mean_absolute_error: 2.7607  58/4840 [..............................] - ETA: 4s - loss: 9.7520 - mean_absolute_error: 2.3963  114/4840 [..............................] - ETA: 4s - loss: 10.3681 - mean_absolute_error: 2.4591 167/4840 [>.............................] - ETA: 4s - loss: 10.2459 - mean_absolute_error: 2.4335 222/4840 [>.............................] - ETA: 4s - loss: 10.3618 - mean_absolute_error: 2.4510 279/4840 [>.............................] - ETA: 4s - loss: 10.4148 - mean_absolute_error: 2.4544 334/4840 [=>............................] - ETA: 4s - loss: 10.3620 - mean_absolute_error: 2.4489 391/4840 [=>............................] - ETA: 4s - loss: 10.3578 - mean_absolute_error: 2.4475 446/4840 [=>............................] - ETA: 3s - loss: 10.3791 - mean_absolute_error: 2.4487 502/4840 [==>...........................] - ETA: 3s - loss: 10.3849 - mean_absolute_error: 2.4498 558/4840 [==>...........................] - 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mean_absolute_error: 2.45743529/4840 [====================>.........] - ETA: 1s - loss: 10.4858 - mean_absolute_error: 2.45793585/4840 [=====================>........] - ETA: 1s - loss: 10.4937 - mean_absolute_error: 2.45953639/4840 [=====================>........] - ETA: 1s - loss: 10.4863 - mean_absolute_error: 2.45893695/4840 [=====================>........] - ETA: 1s - loss: 10.4836 - mean_absolute_error: 2.45903749/4840 [======================>.......] - ETA: 0s - loss: 10.4772 - mean_absolute_error: 2.45813804/4840 [======================>.......] - ETA: 0s - loss: 10.4771 - mean_absolute_error: 2.45793859/4840 [======================>.......] - ETA: 0s - loss: 10.4803 - mean_absolute_error: 2.45863914/4840 [=======================>......] - ETA: 0s - loss: 10.4777 - mean_absolute_error: 2.45833970/4840 [=======================>......] - ETA: 0s - loss: 10.4905 - mean_absolute_error: 2.45994026/4840 [=======================>......] - ETA: 0s - loss: 10.4904 - mean_absolute_error: 2.46004081/4840 [========================>.....] - 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mean_absolute_error: 2.46184698/4840 [============================>.] - ETA: 0s - loss: 10.4989 - mean_absolute_error: 2.46134753/4840 [============================>.] - ETA: 0s - loss: 10.5034 - mean_absolute_error: 2.46194810/4840 [============================>.] - ETA: 0s - loss: 10.5055 - mean_absolute_error: 2.46234840/4840 [==============================] - 5s 953us/step - loss: 10.5042 - mean_absolute_error: 2.4620 - val_loss: 11.4813 - val_mean_absolute_error: 2.5805
Epoch 48/100
   1/4840 [..............................] - ETA: 9s - loss: 8.1135 - mean_absolute_error: 2.2418  46/4840 [..............................] - ETA: 5s - loss: 10.8899 - mean_absolute_error: 2.5101  95/4840 [..............................] - ETA: 5s - loss: 10.8699 - mean_absolute_error: 2.5100 144/4840 [..............................] - ETA: 4s - loss: 10.7039 - mean_absolute_error: 2.4996 192/4840 [>.............................] - ETA: 4s - loss: 10.7225 - mean_absolute_error: 2.4982 239/4840 [>.............................] - ETA: 4s - loss: 10.6473 - mean_absolute_error: 2.4790 291/4840 [>.............................] - ETA: 4s - loss: 10.5286 - mean_absolute_error: 2.4611 346/4840 [=>............................] - ETA: 4s - loss: 10.5532 - mean_absolute_error: 2.4647 401/4840 [=>............................] - ETA: 4s - loss: 10.5090 - mean_absolute_error: 2.4646 458/4840 [=>............................] - ETA: 4s - loss: 10.5174 - mean_absolute_error: 2.4648 512/4840 [==>...........................] - ETA: 4s - loss: 10.4695 - mean_absolute_error: 2.4551 567/4840 [==>...........................] - ETA: 4s - loss: 10.4812 - mean_absolute_error: 2.4575 622/4840 [==>...........................] - ETA: 4s - loss: 10.4523 - mean_absolute_error: 2.4532 678/4840 [===>..........................] - ETA: 4s - loss: 10.4488 - mean_absolute_error: 2.4538 734/4840 [===>..........................] - ETA: 3s - loss: 10.4834 - mean_absolute_error: 2.4572 790/4840 [===>..........................] - ETA: 3s - loss: 10.5186 - mean_absolute_error: 2.4614 843/4840 [====>.........................] - ETA: 3s - loss: 10.5320 - mean_absolute_error: 2.4632 898/4840 [====>.........................] - ETA: 3s - loss: 10.5198 - mean_absolute_error: 2.4609 954/4840 [====>.........................] - ETA: 3s - loss: 10.5461 - mean_absolute_error: 2.46481011/4840 [=====>........................] - ETA: 3s - loss: 10.5549 - mean_absolute_error: 2.46721068/4840 [=====>........................] - ETA: 3s - loss: 10.5232 - 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ETA: 2s - loss: 10.4896 - mean_absolute_error: 2.46091738/4840 [=========>....................] - ETA: 2s - loss: 10.4714 - mean_absolute_error: 2.45821794/4840 [==========>...................] - ETA: 2s - loss: 10.4622 - mean_absolute_error: 2.45721849/4840 [==========>...................] - ETA: 2s - loss: 10.4444 - mean_absolute_error: 2.45491904/4840 [==========>...................] - ETA: 2s - loss: 10.4520 - mean_absolute_error: 2.45641959/4840 [===========>..................] - ETA: 2s - loss: 10.4747 - mean_absolute_error: 2.45972014/4840 [===========>..................] - ETA: 2s - loss: 10.4699 - mean_absolute_error: 2.45872070/4840 [===========>..................] - ETA: 2s - loss: 10.4753 - mean_absolute_error: 2.45892127/4840 [============>.................] - ETA: 2s - loss: 10.4682 - mean_absolute_error: 2.45832183/4840 [============>.................] - ETA: 2s - loss: 10.4812 - mean_absolute_error: 2.46012238/4840 [============>.................] - ETA: 2s - loss: 10.4795 - mean_absolute_error: 2.45982293/4840 [=============>................] - ETA: 2s - loss: 10.4946 - mean_absolute_error: 2.46212349/4840 [=============>................] - ETA: 2s - loss: 10.4835 - mean_absolute_error: 2.46022407/4840 [=============>................] - ETA: 2s - loss: 10.4871 - mean_absolute_error: 2.46072463/4840 [==============>...............] - ETA: 2s - loss: 10.4826 - mean_absolute_error: 2.46032520/4840 [==============>...............] - ETA: 2s - loss: 10.4828 - mean_absolute_error: 2.45992575/4840 [==============>...............] - ETA: 2s - loss: 10.4915 - mean_absolute_error: 2.46052630/4840 [===============>..............] - ETA: 2s - loss: 10.4852 - mean_absolute_error: 2.45992686/4840 [===============>..............] - ETA: 1s - loss: 10.4908 - mean_absolute_error: 2.46052740/4840 [===============>..............] - ETA: 1s - loss: 10.4980 - mean_absolute_error: 2.46152795/4840 [================>.............] - ETA: 1s - loss: 10.5021 - mean_absolute_error: 2.46232851/4840 [================>.............] - ETA: 1s - loss: 10.4912 - mean_absolute_error: 2.46082904/4840 [=================>............] - ETA: 1s - loss: 10.4792 - mean_absolute_error: 2.45892961/4840 [=================>............] - ETA: 1s - loss: 10.4758 - mean_absolute_error: 2.45873015/4840 [=================>............] - ETA: 1s - loss: 10.4730 - mean_absolute_error: 2.45753070/4840 [==================>...........] - ETA: 1s - loss: 10.4730 - mean_absolute_error: 2.45783125/4840 [==================>...........] - ETA: 1s - loss: 10.4827 - mean_absolute_error: 2.45913182/4840 [==================>...........] - ETA: 1s - loss: 10.4748 - mean_absolute_error: 2.45813240/4840 [===================>..........] - ETA: 1s - loss: 10.4654 - mean_absolute_error: 2.45683295/4840 [===================>..........] - ETA: 1s - loss: 10.4656 - mean_absolute_error: 2.45693350/4840 [===================>..........] - ETA: 1s - loss: 10.4688 - mean_absolute_error: 2.45693406/4840 [====================>.........] - ETA: 1s - loss: 10.4698 - mean_absolute_error: 2.45763462/4840 [====================>.........] - ETA: 1s - loss: 10.4711 - mean_absolute_error: 2.45743518/4840 [====================>.........] - ETA: 1s - loss: 10.4771 - mean_absolute_error: 2.45833573/4840 [=====================>........] - ETA: 1s - loss: 10.4821 - mean_absolute_error: 2.45903628/4840 [=====================>........] - ETA: 1s - loss: 10.4942 - mean_absolute_error: 2.46063681/4840 [=====================>........] - ETA: 1s - loss: 10.4905 - mean_absolute_error: 2.46013734/4840 [======================>.......] - ETA: 1s - loss: 10.4913 - mean_absolute_error: 2.46053785/4840 [======================>.......] - ETA: 0s - loss: 10.4897 - mean_absolute_error: 2.46023835/4840 [======================>.......] - ETA: 0s - loss: 10.4849 - mean_absolute_error: 2.45973886/4840 [=======================>......] - ETA: 0s - loss: 10.4877 - mean_absolute_error: 2.46003938/4840 [=======================>......] - ETA: 0s - loss: 10.4938 - mean_absolute_error: 2.46053989/4840 [=======================>......] - ETA: 0s - loss: 10.4969 - mean_absolute_error: 2.46064041/4840 [========================>.....] - ETA: 0s - loss: 10.4926 - mean_absolute_error: 2.45984089/4840 [========================>.....] - ETA: 0s - loss: 10.4882 - mean_absolute_error: 2.45964138/4840 [========================>.....] - ETA: 0s - loss: 10.4912 - mean_absolute_error: 2.46014188/4840 [========================>.....] - ETA: 0s - loss: 10.4933 - mean_absolute_error: 2.46054239/4840 [=========================>....] - ETA: 0s - loss: 10.4890 - mean_absolute_error: 2.45984289/4840 [=========================>....] - ETA: 0s - loss: 10.4911 - mean_absolute_error: 2.46004341/4840 [=========================>....] - ETA: 0s - loss: 10.4909 - mean_absolute_error: 2.46034392/4840 [==========================>...] - ETA: 0s - loss: 10.4914 - mean_absolute_error: 2.46064442/4840 [==========================>...] - ETA: 0s - loss: 10.4906 - mean_absolute_error: 2.46054492/4840 [==========================>...] - ETA: 0s - loss: 10.4903 - mean_absolute_error: 2.46054543/4840 [===========================>..] - ETA: 0s - loss: 10.4950 - mean_absolute_error: 2.46144593/4840 [===========================>..] - ETA: 0s - loss: 10.5001 - mean_absolute_error: 2.46224644/4840 [===========================>..] - ETA: 0s - loss: 10.5002 - mean_absolute_error: 2.46214693/4840 [============================>.] - ETA: 0s - loss: 10.4959 - mean_absolute_error: 2.46174744/4840 [============================>.] - ETA: 0s - loss: 10.5040 - mean_absolute_error: 2.46284796/4840 [============================>.] - ETA: 0s - loss: 10.5065 - mean_absolute_error: 2.46284840/4840 [==============================] - 5s 986us/step - loss: 10.5035 - mean_absolute_error: 2.4625 - val_loss: 11.4837 - val_mean_absolute_error: 2.5802
Epoch 49/100
   1/4840 [..............................] - ETA: 9s - loss: 13.0232 - mean_absolute_error: 2.8155  51/4840 [..............................] - ETA: 4s - loss: 9.8815 - mean_absolute_error: 2.3684  101/4840 [..............................] - ETA: 4s - loss: 9.8559 - mean_absolute_error: 2.3768 153/4840 [..............................] - ETA: 4s - loss: 10.0195 - mean_absolute_error: 2.3856 204/4840 [>.............................] - ETA: 4s - loss: 10.1584 - mean_absolute_error: 2.4068 253/4840 [>.............................] - ETA: 4s - loss: 10.2832 - mean_absolute_error: 2.4267 301/4840 [>.............................] - ETA: 4s - loss: 10.3655 - mean_absolute_error: 2.4369 352/4840 [=>............................] - ETA: 4s - loss: 10.3715 - mean_absolute_error: 2.4390 403/4840 [=>............................] - ETA: 4s - loss: 10.2721 - mean_absolute_error: 2.4231 454/4840 [=>............................] - ETA: 4s - loss: 10.3194 - mean_absolute_error: 2.4299 504/4840 [==>...........................] - ETA: 4s - loss: 10.3140 - mean_absolute_error: 2.4322 554/4840 [==>...........................] - ETA: 4s - loss: 10.2788 - mean_absolute_error: 2.4268 605/4840 [==>...........................] - ETA: 4s - loss: 10.2232 - mean_absolute_error: 2.4196 655/4840 [===>..........................] - ETA: 4s - loss: 10.1749 - mean_absolute_error: 2.4141 702/4840 [===>..........................] - ETA: 4s - loss: 10.2436 - mean_absolute_error: 2.4222 749/4840 [===>..........................] - ETA: 4s - loss: 10.2649 - mean_absolute_error: 2.4260 797/4840 [===>..........................] - ETA: 4s - loss: 10.2665 - mean_absolute_error: 2.4258 849/4840 [====>.........................] - ETA: 4s - loss: 10.2605 - mean_absolute_error: 2.4238 900/4840 [====>.........................] - ETA: 3s - loss: 10.2708 - mean_absolute_error: 2.4254 950/4840 [====>.........................] - ETA: 3s - loss: 10.2944 - mean_absolute_error: 2.4278 999/4840 [=====>........................] - ETA: 3s - loss: 10.2781 - 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mean_absolute_error: 2.45463710/4840 [=====================>........] - ETA: 1s - loss: 10.4570 - mean_absolute_error: 2.45603758/4840 [======================>.......] - ETA: 1s - loss: 10.4623 - mean_absolute_error: 2.45643804/4840 [======================>.......] - ETA: 1s - loss: 10.4617 - mean_absolute_error: 2.45613851/4840 [======================>.......] - ETA: 1s - loss: 10.4636 - mean_absolute_error: 2.45683900/4840 [=======================>......] - ETA: 1s - loss: 10.4653 - mean_absolute_error: 2.45693949/4840 [=======================>......] - ETA: 1s - loss: 10.4682 - mean_absolute_error: 2.45743997/4840 [=======================>......] - ETA: 0s - loss: 10.4688 - mean_absolute_error: 2.45734044/4840 [========================>.....] - ETA: 0s - loss: 10.4678 - mean_absolute_error: 2.45714085/4840 [========================>.....] - ETA: 0s - loss: 10.4636 - mean_absolute_error: 2.45664128/4840 [========================>.....] - ETA: 0s - loss: 10.4619 - mean_absolute_error: 2.45654170/4840 [========================>.....] - 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mean_absolute_error: 2.46164696/4840 [============================>.] - ETA: 0s - loss: 10.5086 - mean_absolute_error: 2.46234748/4840 [============================>.] - ETA: 0s - loss: 10.5105 - mean_absolute_error: 2.46244799/4840 [============================>.] - ETA: 0s - loss: 10.5062 - mean_absolute_error: 2.46204840/4840 [==============================] - 6s 1ms/step - loss: 10.5040 - mean_absolute_error: 2.4618 - val_loss: 11.4870 - val_mean_absolute_error: 2.5802
Epoch 50/100
   1/4840 [..............................] - ETA: 4s - loss: 11.2724 - mean_absolute_error: 2.6908  50/4840 [..............................] - ETA: 4s - loss: 9.9393 - mean_absolute_error: 2.3782  100/4840 [..............................] - ETA: 4s - loss: 10.2691 - mean_absolute_error: 2.4339 151/4840 [..............................] - ETA: 4s - loss: 10.3091 - mean_absolute_error: 2.4422 202/4840 [>.............................] - ETA: 4s - loss: 10.1863 - mean_absolute_error: 2.4259 252/4840 [>.............................] - ETA: 4s - loss: 10.3219 - mean_absolute_error: 2.4404 303/4840 [>.............................] - ETA: 4s - loss: 10.2670 - mean_absolute_error: 2.4299 353/4840 [=>............................] - ETA: 4s - loss: 10.3157 - mean_absolute_error: 2.4377 403/4840 [=>............................] - ETA: 4s - loss: 10.3090 - mean_absolute_error: 2.4350 452/4840 [=>............................] - ETA: 4s - loss: 10.2554 - mean_absolute_error: 2.4276 503/4840 [==>...........................] - ETA: 4s - loss: 10.2394 - mean_absolute_error: 2.4251 552/4840 [==>...........................] - ETA: 4s - loss: 10.2850 - mean_absolute_error: 2.4269 600/4840 [==>...........................] - ETA: 4s - loss: 10.2973 - mean_absolute_error: 2.4274 650/4840 [===>..........................] - ETA: 4s - loss: 10.3080 - mean_absolute_error: 2.4303 701/4840 [===>..........................] - ETA: 4s - loss: 10.3526 - mean_absolute_error: 2.4345 752/4840 [===>..........................] - ETA: 4s - loss: 10.3066 - mean_absolute_error: 2.4289 802/4840 [===>..........................] - ETA: 4s - loss: 10.3082 - mean_absolute_error: 2.4281 853/4840 [====>.........................] - ETA: 4s - loss: 10.3550 - mean_absolute_error: 2.4354 905/4840 [====>.........................] - ETA: 3s - loss: 10.3762 - mean_absolute_error: 2.4379 956/4840 [====>.........................] - ETA: 3s - loss: 10.3717 - mean_absolute_error: 2.43731005/4840 [=====>........................] - ETA: 3s - loss: 10.3781 - 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ETA: 3s - loss: 10.4596 - mean_absolute_error: 2.45121525/4840 [========>.....................] - ETA: 3s - loss: 10.4559 - mean_absolute_error: 2.45031569/4840 [========>.....................] - ETA: 3s - loss: 10.4591 - mean_absolute_error: 2.45131611/4840 [========>.....................] - ETA: 3s - loss: 10.4688 - mean_absolute_error: 2.45231654/4840 [=========>....................] - ETA: 3s - loss: 10.4739 - mean_absolute_error: 2.45301697/4840 [=========>....................] - ETA: 3s - loss: 10.4699 - mean_absolute_error: 2.45281741/4840 [=========>....................] - ETA: 3s - loss: 10.4509 - mean_absolute_error: 2.45021784/4840 [==========>...................] - ETA: 3s - loss: 10.4389 - mean_absolute_error: 2.44841829/4840 [==========>...................] - ETA: 3s - loss: 10.4404 - mean_absolute_error: 2.44881875/4840 [==========>...................] - ETA: 3s - loss: 10.4375 - mean_absolute_error: 2.44911916/4840 [==========>...................] - ETA: 3s - loss: 10.4320 - mean_absolute_error: 2.44831960/4840 [===========>..................] - ETA: 3s - loss: 10.4293 - mean_absolute_error: 2.44852008/4840 [===========>..................] - ETA: 3s - loss: 10.4291 - mean_absolute_error: 2.44872053/4840 [===========>..................] - ETA: 3s - loss: 10.4292 - mean_absolute_error: 2.44922103/4840 [============>.................] - ETA: 2s - loss: 10.4445 - mean_absolute_error: 2.45162151/4840 [============>.................] - ETA: 2s - loss: 10.4237 - mean_absolute_error: 2.44882200/4840 [============>.................] - ETA: 2s - loss: 10.4329 - mean_absolute_error: 2.45022251/4840 [============>.................] - ETA: 2s - loss: 10.4405 - mean_absolute_error: 2.45152299/4840 [=============>................] - ETA: 2s - loss: 10.4496 - mean_absolute_error: 2.45242348/4840 [=============>................] - ETA: 2s - loss: 10.4561 - mean_absolute_error: 2.45412398/4840 [=============>................] - ETA: 2s - loss: 10.4514 - mean_absolute_error: 2.45412450/4840 [==============>...............] - 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mean_absolute_error: 2.46073002/4840 [=================>............] - ETA: 1s - loss: 10.5013 - mean_absolute_error: 2.46003052/4840 [=================>............] - ETA: 1s - loss: 10.5026 - mean_absolute_error: 2.46053103/4840 [==================>...........] - ETA: 1s - loss: 10.5014 - mean_absolute_error: 2.46033152/4840 [==================>...........] - ETA: 1s - loss: 10.5016 - mean_absolute_error: 2.46053203/4840 [==================>...........] - ETA: 1s - loss: 10.5050 - mean_absolute_error: 2.46093253/4840 [===================>..........] - ETA: 1s - loss: 10.5007 - mean_absolute_error: 2.46033302/4840 [===================>..........] - ETA: 1s - loss: 10.5042 - mean_absolute_error: 2.46073353/4840 [===================>..........] - ETA: 1s - loss: 10.4972 - mean_absolute_error: 2.46003404/4840 [====================>.........] - ETA: 1s - loss: 10.4948 - mean_absolute_error: 2.45923454/4840 [====================>.........] - ETA: 1s - loss: 10.4922 - mean_absolute_error: 2.45883506/4840 [====================>.........] - ETA: 1s - loss: 10.4952 - mean_absolute_error: 2.45913557/4840 [=====================>........] - ETA: 1s - loss: 10.4897 - mean_absolute_error: 2.45853609/4840 [=====================>........] - ETA: 1s - loss: 10.4968 - mean_absolute_error: 2.45953658/4840 [=====================>........] - ETA: 1s - loss: 10.5009 - mean_absolute_error: 2.46053705/4840 [=====================>........] - ETA: 1s - loss: 10.4904 - mean_absolute_error: 2.45903754/4840 [======================>.......] - ETA: 1s - loss: 10.4943 - mean_absolute_error: 2.45943805/4840 [======================>.......] - ETA: 1s - loss: 10.4927 - mean_absolute_error: 2.45953855/4840 [======================>.......] - ETA: 1s - loss: 10.4926 - mean_absolute_error: 2.45963904/4840 [=======================>......] - ETA: 0s - loss: 10.4896 - mean_absolute_error: 2.45943953/4840 [=======================>......] - ETA: 0s - loss: 10.4905 - mean_absolute_error: 2.45954004/4840 [=======================>......] - ETA: 0s - loss: 10.5017 - mean_absolute_error: 2.46084053/4840 [========================>.....] - ETA: 0s - loss: 10.5095 - mean_absolute_error: 2.46184102/4840 [========================>.....] - ETA: 0s - loss: 10.5008 - mean_absolute_error: 2.46134149/4840 [========================>.....] - ETA: 0s - loss: 10.4944 - mean_absolute_error: 2.46044198/4840 [=========================>....] - ETA: 0s - loss: 10.4905 - mean_absolute_error: 2.46004246/4840 [=========================>....] - ETA: 0s - loss: 10.4932 - mean_absolute_error: 2.46034299/4840 [=========================>....] - ETA: 0s - loss: 10.4898 - mean_absolute_error: 2.45974349/4840 [=========================>....] - ETA: 0s - loss: 10.4935 - mean_absolute_error: 2.46004400/4840 [==========================>...] - ETA: 0s - loss: 10.4970 - mean_absolute_error: 2.46054450/4840 [==========================>...] - ETA: 0s - loss: 10.4928 - mean_absolute_error: 2.46004500/4840 [==========================>...] - ETA: 0s - loss: 10.4899 - mean_absolute_error: 2.45994551/4840 [===========================>..] - ETA: 0s - loss: 10.4937 - mean_absolute_error: 2.46044600/4840 [===========================>..] - ETA: 0s - loss: 10.4932 - mean_absolute_error: 2.46034650/4840 [===========================>..] - ETA: 0s - loss: 10.4948 - mean_absolute_error: 2.46084700/4840 [============================>.] - ETA: 0s - loss: 10.4933 - mean_absolute_error: 2.46104748/4840 [============================>.] - ETA: 0s - loss: 10.4986 - mean_absolute_error: 2.46204799/4840 [============================>.] - ETA: 0s - loss: 10.4996 - mean_absolute_error: 2.46214840/4840 [==============================] - 5s 1ms/step - loss: 10.5032 - mean_absolute_error: 2.4625 - val_loss: 11.4870 - val_mean_absolute_error: 2.5800
Epoch 51/100
   1/4840 [..............................] - ETA: 9s - loss: 11.5371 - mean_absolute_error: 2.7285  49/4840 [..............................] - ETA: 5s - loss: 10.6046 - mean_absolute_error: 2.4647  99/4840 [..............................] - ETA: 4s - loss: 10.3815 - mean_absolute_error: 2.4501 149/4840 [..............................] - ETA: 4s - loss: 10.4113 - mean_absolute_error: 2.4529 201/4840 [>.............................] - ETA: 4s - loss: 10.4263 - mean_absolute_error: 2.4504 252/4840 [>.............................] - ETA: 4s - loss: 10.3274 - mean_absolute_error: 2.4421 305/4840 [>.............................] - ETA: 4s - loss: 10.5290 - mean_absolute_error: 2.4726 356/4840 [=>............................] - ETA: 4s - loss: 10.4167 - mean_absolute_error: 2.4613 407/4840 [=>............................] - ETA: 4s - loss: 10.4186 - mean_absolute_error: 2.4590 457/4840 [=>............................] - ETA: 4s - loss: 10.3900 - mean_absolute_error: 2.4537 506/4840 [==>...........................] - 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mean_absolute_error: 2.45062075/4840 [===========>..................] - ETA: 2s - loss: 10.4001 - mean_absolute_error: 2.44972128/4840 [============>.................] - ETA: 2s - loss: 10.4016 - mean_absolute_error: 2.45052178/4840 [============>.................] - ETA: 2s - loss: 10.3931 - mean_absolute_error: 2.44972213/4840 [============>.................] - ETA: 2s - loss: 10.3860 - mean_absolute_error: 2.44842259/4840 [=============>................] - ETA: 2s - loss: 10.4069 - mean_absolute_error: 2.45132308/4840 [=============>................] - ETA: 2s - loss: 10.4037 - mean_absolute_error: 2.45052357/4840 [=============>................] - ETA: 2s - loss: 10.3969 - mean_absolute_error: 2.44952407/4840 [=============>................] - ETA: 2s - loss: 10.4034 - mean_absolute_error: 2.45002458/4840 [==============>...............] - ETA: 2s - loss: 10.4148 - mean_absolute_error: 2.45132508/4840 [==============>...............] - ETA: 2s - loss: 10.4286 - mean_absolute_error: 2.45242559/4840 [==============>...............] - 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mean_absolute_error: 2.45353092/4840 [==================>...........] - ETA: 1s - loss: 10.4484 - mean_absolute_error: 2.45423143/4840 [==================>...........] - ETA: 1s - loss: 10.4368 - mean_absolute_error: 2.45283194/4840 [==================>...........] - ETA: 1s - loss: 10.4434 - mean_absolute_error: 2.45403243/4840 [===================>..........] - ETA: 1s - loss: 10.4493 - mean_absolute_error: 2.45473294/4840 [===================>..........] - ETA: 1s - loss: 10.4559 - mean_absolute_error: 2.45583346/4840 [===================>..........] - ETA: 1s - loss: 10.4586 - mean_absolute_error: 2.45663394/4840 [====================>.........] - ETA: 1s - loss: 10.4521 - mean_absolute_error: 2.45583444/4840 [====================>.........] - ETA: 1s - loss: 10.4564 - mean_absolute_error: 2.45613493/4840 [====================>.........] - ETA: 1s - loss: 10.4632 - mean_absolute_error: 2.45733545/4840 [====================>.........] - ETA: 1s - loss: 10.4686 - mean_absolute_error: 2.45783597/4840 [=====================>........] - ETA: 1s - loss: 10.4709 - mean_absolute_error: 2.45843648/4840 [=====================>........] - ETA: 1s - loss: 10.4717 - mean_absolute_error: 2.45823697/4840 [=====================>........] - ETA: 1s - loss: 10.4767 - mean_absolute_error: 2.45863747/4840 [======================>.......] - ETA: 1s - loss: 10.4730 - mean_absolute_error: 2.45803797/4840 [======================>.......] - ETA: 1s - loss: 10.4787 - mean_absolute_error: 2.45873848/4840 [======================>.......] - ETA: 1s - loss: 10.4704 - mean_absolute_error: 2.45763899/4840 [=======================>......] - ETA: 0s - loss: 10.4754 - mean_absolute_error: 2.45853948/4840 [=======================>......] - ETA: 0s - loss: 10.4777 - mean_absolute_error: 2.45883998/4840 [=======================>......] - ETA: 0s - loss: 10.4814 - mean_absolute_error: 2.45894049/4840 [========================>.....] - ETA: 0s - loss: 10.4840 - mean_absolute_error: 2.45924101/4840 [========================>.....] - ETA: 0s - loss: 10.4874 - mean_absolute_error: 2.45984152/4840 [========================>.....] - ETA: 0s - loss: 10.4879 - mean_absolute_error: 2.45964203/4840 [=========================>....] - ETA: 0s - loss: 10.4932 - mean_absolute_error: 2.46034252/4840 [=========================>....] - ETA: 0s - loss: 10.4902 - mean_absolute_error: 2.45984303/4840 [=========================>....] - ETA: 0s - loss: 10.4956 - mean_absolute_error: 2.46024352/4840 [=========================>....] - ETA: 0s - loss: 10.4858 - mean_absolute_error: 2.45874404/4840 [==========================>...] - ETA: 0s - loss: 10.4846 - mean_absolute_error: 2.45884456/4840 [==========================>...] - ETA: 0s - loss: 10.4867 - mean_absolute_error: 2.45904505/4840 [==========================>...] - ETA: 0s - loss: 10.4890 - mean_absolute_error: 2.45924554/4840 [===========================>..] - ETA: 0s - loss: 10.4988 - mean_absolute_error: 2.46084605/4840 [===========================>..] - ETA: 0s - loss: 10.4995 - mean_absolute_error: 2.46074656/4840 [===========================>..] - ETA: 0s - loss: 10.4983 - mean_absolute_error: 2.46054704/4840 [============================>.] - ETA: 0s - loss: 10.4974 - mean_absolute_error: 2.46054754/4840 [============================>.] - ETA: 0s - loss: 10.4962 - mean_absolute_error: 2.46034803/4840 [============================>.] - ETA: 0s - loss: 10.4995 - mean_absolute_error: 2.46064840/4840 [==============================] - 5s 1ms/step - loss: 10.5043 - mean_absolute_error: 2.4615 - val_loss: 11.4893 - val_mean_absolute_error: 2.5802
Epoch 52/100
   1/4840 [..............................] - ETA: 9s - loss: 13.2717 - mean_absolute_error: 2.7782  52/4840 [..............................] - ETA: 4s - loss: 10.4228 - mean_absolute_error: 2.4772 104/4840 [..............................] - ETA: 4s - loss: 10.3823 - mean_absolute_error: 2.4615 156/4840 [..............................] - ETA: 4s - loss: 10.4446 - mean_absolute_error: 2.4591 208/4840 [>.............................] - ETA: 4s - loss: 10.4721 - mean_absolute_error: 2.4626 257/4840 [>.............................] - ETA: 4s - loss: 10.4381 - mean_absolute_error: 2.4556 308/4840 [>.............................] - ETA: 4s - loss: 10.4290 - mean_absolute_error: 2.4568 361/4840 [=>............................] - ETA: 4s - loss: 10.4828 - mean_absolute_error: 2.4645 411/4840 [=>............................] - ETA: 4s - loss: 10.4913 - mean_absolute_error: 2.4607 462/4840 [=>............................] - ETA: 4s - loss: 10.3894 - mean_absolute_error: 2.4471 512/4840 [==>...........................] - 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mean_absolute_error: 2.43801059/4840 [=====>........................] - ETA: 3s - loss: 10.3314 - mean_absolute_error: 2.43531108/4840 [=====>........................] - ETA: 3s - loss: 10.3254 - mean_absolute_error: 2.43471159/4840 [======>.......................] - ETA: 3s - loss: 10.3352 - mean_absolute_error: 2.43561211/4840 [======>.......................] - ETA: 3s - loss: 10.3294 - mean_absolute_error: 2.43631262/4840 [======>.......................] - ETA: 3s - loss: 10.3288 - mean_absolute_error: 2.43591312/4840 [=======>......................] - ETA: 3s - loss: 10.3414 - mean_absolute_error: 2.43851363/4840 [=======>......................] - ETA: 3s - loss: 10.3604 - mean_absolute_error: 2.43931413/4840 [=======>......................] - ETA: 3s - loss: 10.3611 - mean_absolute_error: 2.43921460/4840 [========>.....................] - ETA: 3s - loss: 10.3678 - mean_absolute_error: 2.44151511/4840 [========>.....................] - ETA: 3s - loss: 10.3966 - mean_absolute_error: 2.44471562/4840 [========>.....................] - ETA: 3s - loss: 10.4164 - mean_absolute_error: 2.44681610/4840 [========>.....................] - ETA: 3s - loss: 10.4225 - mean_absolute_error: 2.44771659/4840 [=========>....................] - ETA: 3s - loss: 10.4286 - mean_absolute_error: 2.44831709/4840 [=========>....................] - ETA: 3s - loss: 10.4439 - mean_absolute_error: 2.45111757/4840 [=========>....................] - ETA: 3s - loss: 10.4524 - mean_absolute_error: 2.45261807/4840 [==========>...................] - ETA: 3s - loss: 10.4363 - mean_absolute_error: 2.45131855/4840 [==========>...................] - ETA: 2s - loss: 10.4076 - mean_absolute_error: 2.44691905/4840 [==========>...................] - ETA: 2s - loss: 10.4104 - mean_absolute_error: 2.44811955/4840 [===========>..................] - ETA: 2s - loss: 10.4103 - mean_absolute_error: 2.44812006/4840 [===========>..................] - ETA: 2s - loss: 10.4121 - mean_absolute_error: 2.44802057/4840 [===========>..................] - ETA: 2s - loss: 10.4160 - mean_absolute_error: 2.44862108/4840 [============>.................] - ETA: 2s - loss: 10.4261 - mean_absolute_error: 2.44982158/4840 [============>.................] - ETA: 2s - loss: 10.4255 - mean_absolute_error: 2.44962209/4840 [============>.................] - ETA: 2s - loss: 10.4205 - mean_absolute_error: 2.44882262/4840 [=============>................] - ETA: 2s - loss: 10.4259 - mean_absolute_error: 2.44902313/4840 [=============>................] - ETA: 2s - loss: 10.4243 - mean_absolute_error: 2.44862365/4840 [=============>................] - ETA: 2s - loss: 10.4340 - mean_absolute_error: 2.45002416/4840 [=============>................] - ETA: 2s - loss: 10.4243 - mean_absolute_error: 2.44932466/4840 [==============>...............] - ETA: 2s - loss: 10.4248 - mean_absolute_error: 2.44932517/4840 [==============>...............] - ETA: 2s - loss: 10.4270 - mean_absolute_error: 2.44932568/4840 [==============>...............] - ETA: 2s - loss: 10.4206 - mean_absolute_error: 2.44782618/4840 [===============>..............] - 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mean_absolute_error: 2.45313162/4840 [==================>...........] - ETA: 1s - loss: 10.4565 - mean_absolute_error: 2.45403207/4840 [==================>...........] - ETA: 1s - loss: 10.4573 - mean_absolute_error: 2.45423250/4840 [===================>..........] - ETA: 1s - loss: 10.4548 - mean_absolute_error: 2.45393292/4840 [===================>..........] - ETA: 1s - loss: 10.4544 - mean_absolute_error: 2.45383335/4840 [===================>..........] - ETA: 1s - loss: 10.4621 - mean_absolute_error: 2.45483385/4840 [===================>..........] - ETA: 1s - loss: 10.4634 - mean_absolute_error: 2.45523434/4840 [====================>.........] - ETA: 1s - loss: 10.4689 - mean_absolute_error: 2.45633483/4840 [====================>.........] - ETA: 1s - loss: 10.4654 - mean_absolute_error: 2.45583535/4840 [====================>.........] - ETA: 1s - loss: 10.4583 - mean_absolute_error: 2.45533583/4840 [=====================>........] - ETA: 1s - loss: 10.4572 - mean_absolute_error: 2.45543635/4840 [=====================>........] - ETA: 1s - loss: 10.4640 - mean_absolute_error: 2.45623689/4840 [=====================>........] - ETA: 1s - loss: 10.4607 - mean_absolute_error: 2.45583735/4840 [======================>.......] - ETA: 1s - loss: 10.4660 - mean_absolute_error: 2.45683786/4840 [======================>.......] - ETA: 1s - loss: 10.4663 - mean_absolute_error: 2.45683833/4840 [======================>.......] - ETA: 1s - loss: 10.4598 - mean_absolute_error: 2.45593884/4840 [=======================>......] - ETA: 0s - loss: 10.4561 - mean_absolute_error: 2.45533935/4840 [=======================>......] - ETA: 0s - loss: 10.4677 - mean_absolute_error: 2.45693986/4840 [=======================>......] - ETA: 0s - loss: 10.4699 - mean_absolute_error: 2.45754038/4840 [========================>.....] - ETA: 0s - loss: 10.4721 - mean_absolute_error: 2.45754090/4840 [========================>.....] - ETA: 0s - loss: 10.4790 - mean_absolute_error: 2.45824142/4840 [========================>.....] - ETA: 0s - loss: 10.4748 - mean_absolute_error: 2.45784193/4840 [========================>.....] - ETA: 0s - loss: 10.4729 - mean_absolute_error: 2.45754245/4840 [=========================>....] - ETA: 0s - loss: 10.4758 - mean_absolute_error: 2.45804296/4840 [=========================>....] - ETA: 0s - loss: 10.4798 - mean_absolute_error: 2.45844348/4840 [=========================>....] - ETA: 0s - loss: 10.4789 - mean_absolute_error: 2.45814400/4840 [==========================>...] - ETA: 0s - loss: 10.4818 - mean_absolute_error: 2.45894450/4840 [==========================>...] - ETA: 0s - loss: 10.4803 - mean_absolute_error: 2.45884502/4840 [==========================>...] - ETA: 0s - loss: 10.4845 - mean_absolute_error: 2.45954552/4840 [===========================>..] - ETA: 0s - loss: 10.4894 - mean_absolute_error: 2.45994603/4840 [===========================>..] - ETA: 0s - loss: 10.4869 - mean_absolute_error: 2.45964655/4840 [===========================>..] - ETA: 0s - loss: 10.4903 - mean_absolute_error: 2.45994706/4840 [============================>.] - ETA: 0s - loss: 10.4878 - mean_absolute_error: 2.45954757/4840 [============================>.] - ETA: 0s - loss: 10.4918 - mean_absolute_error: 2.46024807/4840 [============================>.] - ETA: 0s - loss: 10.5010 - mean_absolute_error: 2.46124840/4840 [==============================] - 5s 1ms/step - loss: 10.5034 - mean_absolute_error: 2.4615 - val_loss: 11.4867 - val_mean_absolute_error: 2.5801
Epoch 53/100
   1/4840 [..............................] - ETA: 9s - loss: 7.8534 - mean_absolute_error: 2.2041  51/4840 [..............................] - ETA: 4s - loss: 9.9219 - mean_absolute_error: 2.3797 102/4840 [..............................] - ETA: 4s - loss: 10.2086 - mean_absolute_error: 2.4342 153/4840 [..............................] - ETA: 4s - loss: 10.2451 - mean_absolute_error: 2.4356 203/4840 [>.............................] - ETA: 4s - loss: 10.1543 - mean_absolute_error: 2.4258 254/4840 [>.............................] - ETA: 4s - loss: 10.2898 - mean_absolute_error: 2.4381 304/4840 [>.............................] - ETA: 4s - loss: 10.5148 - mean_absolute_error: 2.4651 353/4840 [=>............................] - ETA: 4s - loss: 10.4855 - mean_absolute_error: 2.4627 404/4840 [=>............................] - ETA: 4s - loss: 10.5587 - mean_absolute_error: 2.4739 456/4840 [=>............................] - ETA: 4s - loss: 10.5704 - mean_absolute_error: 2.4770 506/4840 [==>...........................] - 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ETA: 0s - loss: 10.4942 - mean_absolute_error: 2.46183976/4840 [=======================>......] - ETA: 0s - loss: 10.4948 - mean_absolute_error: 2.46204031/4840 [=======================>......] - ETA: 0s - loss: 10.4993 - mean_absolute_error: 2.46254086/4840 [========================>.....] - ETA: 0s - loss: 10.5019 - mean_absolute_error: 2.46274142/4840 [========================>.....] - ETA: 0s - loss: 10.5022 - mean_absolute_error: 2.46274197/4840 [=========================>....] - ETA: 0s - loss: 10.5038 - mean_absolute_error: 2.46284253/4840 [=========================>....] - ETA: 0s - loss: 10.5014 - mean_absolute_error: 2.46214310/4840 [=========================>....] - ETA: 0s - loss: 10.4980 - mean_absolute_error: 2.46184367/4840 [==========================>...] - ETA: 0s - loss: 10.4936 - mean_absolute_error: 2.46124423/4840 [==========================>...] - ETA: 0s - loss: 10.4998 - mean_absolute_error: 2.46214478/4840 [==========================>...] - ETA: 0s - loss: 10.4978 - mean_absolute_error: 2.46184534/4840 [===========================>..] - ETA: 0s - loss: 10.5057 - mean_absolute_error: 2.46294591/4840 [===========================>..] - ETA: 0s - loss: 10.5128 - mean_absolute_error: 2.46384648/4840 [===========================>..] - ETA: 0s - loss: 10.5180 - mean_absolute_error: 2.46454703/4840 [============================>.] - ETA: 0s - loss: 10.5150 - mean_absolute_error: 2.46384758/4840 [============================>.] - ETA: 0s - loss: 10.5129 - mean_absolute_error: 2.46354811/4840 [============================>.] - ETA: 0s - loss: 10.5044 - mean_absolute_error: 2.46264840/4840 [==============================] - 5s 980us/step - loss: 10.5030 - mean_absolute_error: 2.4624 - val_loss: 11.4870 - val_mean_absolute_error: 2.5791
Epoch 54/100
   1/4840 [..............................] - ETA: 9s - loss: 10.8358 - mean_absolute_error: 2.4587  56/4840 [..............................] - ETA: 4s - loss: 10.4921 - mean_absolute_error: 2.4750 113/4840 [..............................] - ETA: 4s - loss: 10.3235 - mean_absolute_error: 2.4508 167/4840 [>.............................] - ETA: 4s - loss: 10.4154 - mean_absolute_error: 2.4576 221/4840 [>.............................] - ETA: 4s - loss: 10.3136 - mean_absolute_error: 2.4430 277/4840 [>.............................] - ETA: 4s - loss: 10.3504 - mean_absolute_error: 2.4480 332/4840 [=>............................] - ETA: 4s - loss: 10.2459 - mean_absolute_error: 2.4331 389/4840 [=>............................] - ETA: 4s - loss: 10.3569 - mean_absolute_error: 2.4423 445/4840 [=>............................] - ETA: 3s - loss: 10.3283 - mean_absolute_error: 2.4390 500/4840 [==>...........................] - ETA: 3s - loss: 10.4096 - mean_absolute_error: 2.4493 556/4840 [==>...........................] - ETA: 3s - loss: 10.4158 - mean_absolute_error: 2.4517 613/4840 [==>...........................] - ETA: 3s - loss: 10.4257 - mean_absolute_error: 2.4543 670/4840 [===>..........................] - ETA: 3s - loss: 10.4328 - mean_absolute_error: 2.4552 726/4840 [===>..........................] - ETA: 3s - loss: 10.4016 - mean_absolute_error: 2.4542 780/4840 [===>..........................] - ETA: 3s - loss: 10.3752 - mean_absolute_error: 2.4494 834/4840 [====>.........................] - ETA: 3s - loss: 10.3965 - mean_absolute_error: 2.4503 889/4840 [====>.........................] - ETA: 3s - loss: 10.3719 - mean_absolute_error: 2.4478 943/4840 [====>.........................] - ETA: 3s - loss: 10.3463 - mean_absolute_error: 2.4446 997/4840 [=====>........................] - ETA: 3s - loss: 10.3459 - mean_absolute_error: 2.44351053/4840 [=====>........................] - ETA: 3s - loss: 10.3450 - mean_absolute_error: 2.44471106/4840 [=====>........................] - ETA: 3s - loss: 10.3556 - 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mean_absolute_error: 2.45652316/4840 [=============>................] - ETA: 2s - loss: 10.4373 - mean_absolute_error: 2.45622372/4840 [=============>................] - ETA: 2s - loss: 10.4255 - mean_absolute_error: 2.45502428/4840 [==============>...............] - ETA: 2s - loss: 10.4381 - mean_absolute_error: 2.45612483/4840 [==============>...............] - ETA: 2s - loss: 10.4340 - mean_absolute_error: 2.45542538/4840 [==============>...............] - ETA: 2s - loss: 10.4378 - mean_absolute_error: 2.45562596/4840 [===============>..............] - ETA: 2s - loss: 10.4395 - mean_absolute_error: 2.45582652/4840 [===============>..............] - ETA: 1s - loss: 10.4352 - mean_absolute_error: 2.45512709/4840 [===============>..............] - ETA: 1s - loss: 10.4500 - mean_absolute_error: 2.45682766/4840 [================>.............] - ETA: 1s - loss: 10.4514 - mean_absolute_error: 2.45712822/4840 [================>.............] - ETA: 1s - loss: 10.4639 - mean_absolute_error: 2.45832877/4840 [================>.............] - 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mean_absolute_error: 2.46153482/4840 [====================>.........] - ETA: 1s - loss: 10.4862 - mean_absolute_error: 2.46043537/4840 [====================>.........] - ETA: 1s - loss: 10.4927 - mean_absolute_error: 2.46073594/4840 [=====================>........] - ETA: 1s - loss: 10.4925 - mean_absolute_error: 2.46083650/4840 [=====================>........] - ETA: 1s - loss: 10.4859 - mean_absolute_error: 2.46013706/4840 [=====================>........] - ETA: 1s - loss: 10.4982 - mean_absolute_error: 2.46143763/4840 [======================>.......] - ETA: 0s - loss: 10.4939 - mean_absolute_error: 2.46103821/4840 [======================>.......] - ETA: 0s - loss: 10.4974 - mean_absolute_error: 2.46173877/4840 [=======================>......] - ETA: 0s - loss: 10.4999 - mean_absolute_error: 2.46173933/4840 [=======================>......] - ETA: 0s - loss: 10.5053 - mean_absolute_error: 2.46273989/4840 [=======================>......] - ETA: 0s - loss: 10.5009 - mean_absolute_error: 2.46224043/4840 [========================>.....] - ETA: 0s - loss: 10.5015 - mean_absolute_error: 2.46184096/4840 [========================>.....] - ETA: 0s - loss: 10.4968 - mean_absolute_error: 2.46104150/4840 [========================>.....] - ETA: 0s - loss: 10.5007 - mean_absolute_error: 2.46164206/4840 [=========================>....] - ETA: 0s - loss: 10.4960 - mean_absolute_error: 2.46124260/4840 [=========================>....] - ETA: 0s - loss: 10.4932 - mean_absolute_error: 2.46084315/4840 [=========================>....] - ETA: 0s - loss: 10.5034 - mean_absolute_error: 2.46204369/4840 [==========================>...] - ETA: 0s - loss: 10.5012 - mean_absolute_error: 2.46194424/4840 [==========================>...] - ETA: 0s - loss: 10.5024 - mean_absolute_error: 2.46204480/4840 [==========================>...] - ETA: 0s - loss: 10.5073 - mean_absolute_error: 2.46284535/4840 [===========================>..] - ETA: 0s - loss: 10.5012 - mean_absolute_error: 2.46194590/4840 [===========================>..] - ETA: 0s - loss: 10.5022 - mean_absolute_error: 2.46184644/4840 [===========================>..] - ETA: 0s - loss: 10.5042 - mean_absolute_error: 2.46224699/4840 [============================>.] - ETA: 0s - loss: 10.5070 - mean_absolute_error: 2.46274754/4840 [============================>.] - ETA: 0s - loss: 10.5071 - mean_absolute_error: 2.46234811/4840 [============================>.] - ETA: 0s - loss: 10.5013 - mean_absolute_error: 2.46114840/4840 [==============================] - 5s 954us/step - loss: 10.5036 - mean_absolute_error: 2.4613 - val_loss: 11.4905 - val_mean_absolute_error: 2.5790
Epoch 55/100
   1/4840 [..............................] - ETA: 4s - loss: 14.4587 - mean_absolute_error: 2.9031  57/4840 [..............................] - ETA: 4s - loss: 10.3910 - mean_absolute_error: 2.4186 111/4840 [..............................] - ETA: 4s - loss: 10.5660 - mean_absolute_error: 2.4509 165/4840 [>.............................] - ETA: 4s - loss: 10.6171 - mean_absolute_error: 2.4680 220/4840 [>.............................] - ETA: 4s - loss: 10.5291 - mean_absolute_error: 2.4513 275/4840 [>.............................] - ETA: 4s - loss: 10.4788 - mean_absolute_error: 2.4473 332/4840 [=>............................] - ETA: 4s - loss: 10.5357 - mean_absolute_error: 2.4536 388/4840 [=>............................] - ETA: 4s - loss: 10.5694 - mean_absolute_error: 2.4600 442/4840 [=>............................] - ETA: 4s - loss: 10.5592 - mean_absolute_error: 2.4590 497/4840 [==>...........................] - ETA: 3s - loss: 10.5396 - mean_absolute_error: 2.4539 553/4840 [==>...........................] - 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ETA: 0s - loss: 10.4776 - mean_absolute_error: 2.45644039/4840 [========================>.....] - ETA: 0s - loss: 10.4859 - mean_absolute_error: 2.45734095/4840 [========================>.....] - ETA: 0s - loss: 10.4945 - mean_absolute_error: 2.45824151/4840 [========================>.....] - ETA: 0s - loss: 10.4988 - mean_absolute_error: 2.45854207/4840 [=========================>....] - ETA: 0s - loss: 10.4967 - mean_absolute_error: 2.45874263/4840 [=========================>....] - ETA: 0s - loss: 10.5020 - mean_absolute_error: 2.45934319/4840 [=========================>....] - ETA: 0s - loss: 10.5010 - mean_absolute_error: 2.45944376/4840 [==========================>...] - ETA: 0s - loss: 10.4975 - mean_absolute_error: 2.45874430/4840 [==========================>...] - ETA: 0s - loss: 10.4897 - mean_absolute_error: 2.45774484/4840 [==========================>...] - ETA: 0s - loss: 10.4950 - mean_absolute_error: 2.45864538/4840 [===========================>..] - ETA: 0s - loss: 10.5002 - mean_absolute_error: 2.45954594/4840 [===========================>..] - ETA: 0s - loss: 10.4975 - mean_absolute_error: 2.45924649/4840 [===========================>..] - ETA: 0s - loss: 10.4924 - mean_absolute_error: 2.45844704/4840 [============================>.] - ETA: 0s - loss: 10.4927 - mean_absolute_error: 2.45864761/4840 [============================>.] - ETA: 0s - loss: 10.4964 - mean_absolute_error: 2.45914819/4840 [============================>.] - ETA: 0s - loss: 10.5020 - mean_absolute_error: 2.45994840/4840 [==============================] - 5s 964us/step - loss: 10.5036 - mean_absolute_error: 2.4602 - val_loss: 11.4909 - val_mean_absolute_error: 2.5806
Epoch 56/100
   1/4840 [..............................] - ETA: 4s - loss: 10.7690 - mean_absolute_error: 2.6435  57/4840 [..............................] - ETA: 4s - loss: 10.6325 - mean_absolute_error: 2.4727 112/4840 [..............................] - ETA: 4s - loss: 10.6163 - mean_absolute_error: 2.4668 168/4840 [>.............................] - ETA: 4s - loss: 10.5108 - mean_absolute_error: 2.4530 225/4840 [>.............................] - ETA: 4s - loss: 10.5109 - mean_absolute_error: 2.4535 281/4840 [>.............................] - ETA: 4s - loss: 10.4067 - mean_absolute_error: 2.4396 336/4840 [=>............................] - ETA: 4s - loss: 10.4420 - mean_absolute_error: 2.4474 393/4840 [=>............................] - ETA: 3s - loss: 10.3260 - mean_absolute_error: 2.4365 451/4840 [=>............................] - ETA: 3s - loss: 10.2942 - mean_absolute_error: 2.4327 505/4840 [==>...........................] - ETA: 3s - loss: 10.3139 - mean_absolute_error: 2.4352 561/4840 [==>...........................] - 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mean_absolute_error: 2.45733350/4840 [===================>..........] - ETA: 1s - loss: 10.4515 - mean_absolute_error: 2.45633404/4840 [====================>.........] - ETA: 1s - loss: 10.4359 - mean_absolute_error: 2.45443457/4840 [====================>.........] - ETA: 1s - loss: 10.4395 - mean_absolute_error: 2.45423512/4840 [====================>.........] - ETA: 1s - loss: 10.4370 - mean_absolute_error: 2.45333567/4840 [=====================>........] - ETA: 1s - loss: 10.4425 - mean_absolute_error: 2.45373621/4840 [=====================>........] - ETA: 1s - loss: 10.4440 - mean_absolute_error: 2.45393673/4840 [=====================>........] - ETA: 1s - loss: 10.4498 - mean_absolute_error: 2.45463726/4840 [======================>.......] - ETA: 1s - loss: 10.4535 - mean_absolute_error: 2.45543780/4840 [======================>.......] - ETA: 1s - loss: 10.4528 - mean_absolute_error: 2.45533833/4840 [======================>.......] - ETA: 0s - loss: 10.4595 - mean_absolute_error: 2.45633888/4840 [=======================>......] - ETA: 0s - loss: 10.4577 - mean_absolute_error: 2.45573944/4840 [=======================>......] - ETA: 0s - loss: 10.4585 - mean_absolute_error: 2.45583998/4840 [=======================>......] - ETA: 0s - loss: 10.4668 - mean_absolute_error: 2.45694054/4840 [========================>.....] - ETA: 0s - loss: 10.4707 - mean_absolute_error: 2.45764110/4840 [========================>.....] - ETA: 0s - loss: 10.4681 - mean_absolute_error: 2.45734167/4840 [========================>.....] - ETA: 0s - loss: 10.4635 - mean_absolute_error: 2.45684225/4840 [=========================>....] - ETA: 0s - loss: 10.4569 - mean_absolute_error: 2.45584280/4840 [=========================>....] - ETA: 0s - loss: 10.4679 - mean_absolute_error: 2.45704335/4840 [=========================>....] - ETA: 0s - loss: 10.4711 - mean_absolute_error: 2.45754391/4840 [==========================>...] - ETA: 0s - loss: 10.4765 - mean_absolute_error: 2.45834447/4840 [==========================>...] - ETA: 0s - loss: 10.4832 - mean_absolute_error: 2.45944503/4840 [==========================>...] - ETA: 0s - loss: 10.4837 - mean_absolute_error: 2.45924559/4840 [===========================>..] - ETA: 0s - loss: 10.4907 - mean_absolute_error: 2.45994615/4840 [===========================>..] - ETA: 0s - loss: 10.4975 - mean_absolute_error: 2.46064672/4840 [===========================>..] - ETA: 0s - loss: 10.4969 - mean_absolute_error: 2.46064725/4840 [============================>.] - ETA: 0s - loss: 10.4905 - mean_absolute_error: 2.45994780/4840 [============================>.] - ETA: 0s - loss: 10.4959 - mean_absolute_error: 2.46044836/4840 [============================>.] - ETA: 0s - loss: 10.5043 - mean_absolute_error: 2.46154840/4840 [==============================] - 5s 982us/step - loss: 10.5033 - mean_absolute_error: 2.4614 - val_loss: 11.4903 - val_mean_absolute_error: 2.5812
Epoch 57/100
   1/4840 [..............................] - ETA: 9s - loss: 10.1550 - mean_absolute_error: 2.5281  56/4840 [..............................] - ETA: 4s - loss: 10.2383 - mean_absolute_error: 2.4263 113/4840 [..............................] - ETA: 4s - loss: 10.2787 - mean_absolute_error: 2.4303 169/4840 [>.............................] - ETA: 4s - loss: 10.2960 - mean_absolute_error: 2.4299 226/4840 [>.............................] - ETA: 4s - loss: 10.3664 - mean_absolute_error: 2.4392 281/4840 [>.............................] - ETA: 4s - loss: 10.4078 - mean_absolute_error: 2.4439 337/4840 [=>............................] - ETA: 4s - loss: 10.3548 - mean_absolute_error: 2.4385 393/4840 [=>............................] - ETA: 3s - loss: 10.3391 - mean_absolute_error: 2.4375 449/4840 [=>............................] - ETA: 3s - loss: 10.3633 - mean_absolute_error: 2.4397 507/4840 [==>...........................] - ETA: 3s - loss: 10.3661 - mean_absolute_error: 2.4420 563/4840 [==>...........................] - ETA: 3s - loss: 10.3244 - mean_absolute_error: 2.4369 618/4840 [==>...........................] - ETA: 3s - loss: 10.3330 - mean_absolute_error: 2.4364 675/4840 [===>..........................] - ETA: 3s - loss: 10.3384 - mean_absolute_error: 2.4389 731/4840 [===>..........................] - ETA: 3s - loss: 10.3889 - mean_absolute_error: 2.4474 786/4840 [===>..........................] - ETA: 3s - loss: 10.3927 - mean_absolute_error: 2.4488 841/4840 [====>.........................] - ETA: 3s - loss: 10.3766 - mean_absolute_error: 2.4464 896/4840 [====>.........................] - ETA: 3s - loss: 10.3807 - mean_absolute_error: 2.4477 952/4840 [====>.........................] - ETA: 3s - loss: 10.4163 - mean_absolute_error: 2.45241007/4840 [=====>........................] - ETA: 3s - loss: 10.3750 - mean_absolute_error: 2.44641061/4840 [=====>........................] - ETA: 3s - loss: 10.3502 - mean_absolute_error: 2.44381116/4840 [=====>........................] - ETA: 3s - loss: 10.3709 - mean_absolute_error: 2.44541170/4840 [======>.......................] - ETA: 3s - loss: 10.3818 - mean_absolute_error: 2.44691226/4840 [======>.......................] - ETA: 3s - loss: 10.4007 - mean_absolute_error: 2.44951283/4840 [======>.......................] - ETA: 3s - loss: 10.4106 - mean_absolute_error: 2.45121339/4840 [=======>......................] - ETA: 3s - loss: 10.4051 - mean_absolute_error: 2.45091388/4840 [=======>......................] - ETA: 3s - loss: 10.4089 - mean_absolute_error: 2.45171442/4840 [=======>......................] - ETA: 3s - loss: 10.3904 - mean_absolute_error: 2.44811496/4840 [========>.....................] - ETA: 3s - loss: 10.4104 - mean_absolute_error: 2.45131551/4840 [========>.....................] - ETA: 2s - loss: 10.3856 - mean_absolute_error: 2.44731606/4840 [========>.....................] - ETA: 2s - loss: 10.3759 - mean_absolute_error: 2.44571662/4840 [=========>....................] - ETA: 2s - loss: 10.4019 - mean_absolute_error: 2.44811714/4840 [=========>....................] - ETA: 2s - loss: 10.4102 - mean_absolute_error: 2.44851763/4840 [=========>....................] - ETA: 2s - loss: 10.4131 - mean_absolute_error: 2.44851811/4840 [==========>...................] - ETA: 2s - loss: 10.3938 - mean_absolute_error: 2.44651857/4840 [==========>...................] - ETA: 2s - loss: 10.4165 - mean_absolute_error: 2.44991907/4840 [==========>...................] - ETA: 2s - loss: 10.4314 - mean_absolute_error: 2.45141953/4840 [===========>..................] - ETA: 2s - loss: 10.4469 - mean_absolute_error: 2.45291997/4840 [===========>..................] - ETA: 2s - loss: 10.4425 - mean_absolute_error: 2.45302041/4840 [===========>..................] - ETA: 2s - loss: 10.4495 - mean_absolute_error: 2.45382086/4840 [===========>..................] - ETA: 2s - loss: 10.4385 - mean_absolute_error: 2.45222127/4840 [============>.................] - ETA: 2s - loss: 10.4340 - mean_absolute_error: 2.45192172/4840 [============>.................] - ETA: 2s - loss: 10.4404 - mean_absolute_error: 2.45262221/4840 [============>.................] - ETA: 2s - loss: 10.4290 - mean_absolute_error: 2.45132273/4840 [=============>................] - ETA: 2s - loss: 10.4265 - mean_absolute_error: 2.45122326/4840 [=============>................] - ETA: 2s - loss: 10.4291 - mean_absolute_error: 2.45182379/4840 [=============>................] - ETA: 2s - loss: 10.4307 - mean_absolute_error: 2.45202433/4840 [==============>...............] - ETA: 2s - loss: 10.4296 - mean_absolute_error: 2.45162488/4840 [==============>...............] - ETA: 2s - loss: 10.4226 - mean_absolute_error: 2.45002543/4840 [==============>...............] - ETA: 2s - loss: 10.4156 - mean_absolute_error: 2.44902599/4840 [===============>..............] - ETA: 2s - loss: 10.4112 - mean_absolute_error: 2.44842656/4840 [===============>..............] - ETA: 2s - loss: 10.4132 - mean_absolute_error: 2.44872713/4840 [===============>..............] - ETA: 2s - loss: 10.4204 - mean_absolute_error: 2.44882769/4840 [================>.............] - ETA: 1s - loss: 10.4213 - mean_absolute_error: 2.44882824/4840 [================>.............] - ETA: 1s - loss: 10.4394 - mean_absolute_error: 2.45102879/4840 [================>.............] - ETA: 1s - loss: 10.4391 - mean_absolute_error: 2.45052935/4840 [=================>............] - ETA: 1s - loss: 10.4399 - mean_absolute_error: 2.45042990/4840 [=================>............] - ETA: 1s - loss: 10.4426 - mean_absolute_error: 2.45133044/4840 [=================>............] - ETA: 1s - loss: 10.4513 - mean_absolute_error: 2.45263101/4840 [==================>...........] - ETA: 1s - loss: 10.4567 - mean_absolute_error: 2.45383157/4840 [==================>...........] - ETA: 1s - loss: 10.4683 - mean_absolute_error: 2.45563215/4840 [==================>...........] - ETA: 1s - loss: 10.4747 - mean_absolute_error: 2.45683271/4840 [===================>..........] - ETA: 1s - loss: 10.4777 - mean_absolute_error: 2.45753327/4840 [===================>..........] - ETA: 1s - loss: 10.4739 - mean_absolute_error: 2.45703384/4840 [===================>..........] - ETA: 1s - loss: 10.4718 - mean_absolute_error: 2.45693440/4840 [====================>.........] - ETA: 1s - loss: 10.4609 - mean_absolute_error: 2.45543497/4840 [====================>.........] - ETA: 1s - loss: 10.4590 - mean_absolute_error: 2.45573554/4840 [=====================>........] - ETA: 1s - loss: 10.4614 - mean_absolute_error: 2.45573611/4840 [=====================>........] - ETA: 1s - loss: 10.4538 - mean_absolute_error: 2.45503668/4840 [=====================>........] - ETA: 1s - loss: 10.4607 - mean_absolute_error: 2.45553724/4840 [======================>.......] - ETA: 1s - loss: 10.4630 - mean_absolute_error: 2.45583781/4840 [======================>.......] - ETA: 0s - loss: 10.4643 - mean_absolute_error: 2.45613837/4840 [======================>.......] - ETA: 0s - loss: 10.4720 - mean_absolute_error: 2.45703895/4840 [=======================>......] - ETA: 0s - loss: 10.4839 - mean_absolute_error: 2.45843952/4840 [=======================>......] - ETA: 0s - loss: 10.4962 - mean_absolute_error: 2.45994007/4840 [=======================>......] - ETA: 0s - loss: 10.5000 - mean_absolute_error: 2.46054064/4840 [========================>.....] - ETA: 0s - loss: 10.5115 - mean_absolute_error: 2.46194119/4840 [========================>.....] - ETA: 0s - loss: 10.5187 - mean_absolute_error: 2.46284166/4840 [========================>.....] - ETA: 0s - loss: 10.5139 - mean_absolute_error: 2.46244215/4840 [=========================>....] - ETA: 0s - loss: 10.5024 - mean_absolute_error: 2.46134269/4840 [=========================>....] - ETA: 0s - loss: 10.4982 - mean_absolute_error: 2.46084323/4840 [=========================>....] - ETA: 0s - loss: 10.5042 - mean_absolute_error: 2.46194377/4840 [==========================>...] - ETA: 0s - loss: 10.5053 - mean_absolute_error: 2.46244432/4840 [==========================>...] - ETA: 0s - loss: 10.5058 - mean_absolute_error: 2.46234489/4840 [==========================>...] - ETA: 0s - loss: 10.5053 - mean_absolute_error: 2.46204546/4840 [===========================>..] - ETA: 0s - loss: 10.5082 - mean_absolute_error: 2.46284603/4840 [===========================>..] - ETA: 0s - loss: 10.5042 - mean_absolute_error: 2.46224661/4840 [===========================>..] - ETA: 0s - loss: 10.5014 - mean_absolute_error: 2.46204718/4840 [============================>.] - ETA: 0s - loss: 10.5019 - mean_absolute_error: 2.46214775/4840 [============================>.] - ETA: 0s - loss: 10.5060 - mean_absolute_error: 2.46294832/4840 [============================>.] - ETA: 0s - loss: 10.5037 - mean_absolute_error: 2.46264840/4840 [==============================] - 5s 971us/step - loss: 10.5034 - mean_absolute_error: 2.4626 - val_loss: 11.4901 - val_mean_absolute_error: 2.5805
Epoch 58/100
   1/4840 [..............................] - ETA: 9s - loss: 10.5848 - mean_absolute_error: 2.2994  56/4840 [..............................] - ETA: 4s - loss: 9.9163 - mean_absolute_error: 2.3921  112/4840 [..............................] - ETA: 4s - loss: 10.2166 - mean_absolute_error: 2.4224 168/4840 [>.............................] - ETA: 4s - loss: 10.3090 - mean_absolute_error: 2.4414 225/4840 [>.............................] - ETA: 4s - loss: 10.3188 - mean_absolute_error: 2.4396 283/4840 [>.............................] - ETA: 4s - loss: 10.3263 - mean_absolute_error: 2.4447 340/4840 [=>............................] - ETA: 4s - loss: 10.2632 - mean_absolute_error: 2.4364 396/4840 [=>............................] - ETA: 3s - loss: 10.3054 - mean_absolute_error: 2.4390 454/4840 [=>............................] - ETA: 3s - loss: 10.2501 - mean_absolute_error: 2.4303 511/4840 [==>...........................] - ETA: 3s - loss: 10.1892 - mean_absolute_error: 2.4226 567/4840 [==>...........................] - 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mean_absolute_error: 2.45993551/4840 [=====================>........] - ETA: 1s - loss: 10.4925 - mean_absolute_error: 2.45923607/4840 [=====================>........] - ETA: 1s - loss: 10.4922 - mean_absolute_error: 2.45933664/4840 [=====================>........] - ETA: 1s - loss: 10.4867 - mean_absolute_error: 2.45863722/4840 [======================>.......] - ETA: 0s - loss: 10.4814 - mean_absolute_error: 2.45783779/4840 [======================>.......] - ETA: 0s - loss: 10.4805 - mean_absolute_error: 2.45773835/4840 [======================>.......] - ETA: 0s - loss: 10.4874 - mean_absolute_error: 2.45893892/4840 [=======================>......] - ETA: 0s - loss: 10.4901 - mean_absolute_error: 2.45903950/4840 [=======================>......] - ETA: 0s - loss: 10.4914 - mean_absolute_error: 2.45944007/4840 [=======================>......] - ETA: 0s - loss: 10.4834 - mean_absolute_error: 2.45844064/4840 [========================>.....] - ETA: 0s - loss: 10.4819 - mean_absolute_error: 2.45834121/4840 [========================>.....] - ETA: 0s - loss: 10.4805 - mean_absolute_error: 2.45824178/4840 [========================>.....] - ETA: 0s - loss: 10.4810 - mean_absolute_error: 2.45864235/4840 [=========================>....] - ETA: 0s - loss: 10.4839 - mean_absolute_error: 2.45894293/4840 [=========================>....] - ETA: 0s - loss: 10.4881 - mean_absolute_error: 2.46004350/4840 [=========================>....] - ETA: 0s - loss: 10.4886 - mean_absolute_error: 2.46034408/4840 [==========================>...] - ETA: 0s - loss: 10.4950 - mean_absolute_error: 2.46094463/4840 [==========================>...] - ETA: 0s - loss: 10.4906 - mean_absolute_error: 2.46054520/4840 [===========================>..] - ETA: 0s - loss: 10.4937 - mean_absolute_error: 2.46084576/4840 [===========================>..] - ETA: 0s - loss: 10.4929 - mean_absolute_error: 2.46104632/4840 [===========================>..] - ETA: 0s - loss: 10.4926 - mean_absolute_error: 2.46084689/4840 [============================>.] - ETA: 0s - loss: 10.4930 - mean_absolute_error: 2.46084745/4840 [============================>.] - ETA: 0s - loss: 10.5010 - mean_absolute_error: 2.46164802/4840 [============================>.] - ETA: 0s - loss: 10.5000 - mean_absolute_error: 2.46174840/4840 [==============================] - 5s 935us/step - loss: 10.5038 - mean_absolute_error: 2.4620 - val_loss: 11.4893 - val_mean_absolute_error: 2.5794
Epoch 59/100
   1/4840 [..............................] - ETA: 9s - loss: 11.1645 - mean_absolute_error: 2.4891  58/4840 [..............................] - ETA: 4s - loss: 11.0314 - mean_absolute_error: 2.5251 115/4840 [..............................] - ETA: 4s - loss: 10.3377 - mean_absolute_error: 2.4279 173/4840 [>.............................] - ETA: 4s - loss: 10.6281 - mean_absolute_error: 2.4645 228/4840 [>.............................] - ETA: 4s - loss: 10.5012 - mean_absolute_error: 2.4579 274/4840 [>.............................] - ETA: 4s - loss: 10.5185 - mean_absolute_error: 2.4592 315/4840 [>.............................] - ETA: 4s - loss: 10.4746 - mean_absolute_error: 2.4603 366/4840 [=>............................] - ETA: 4s - loss: 10.4173 - mean_absolute_error: 2.4537 419/4840 [=>............................] - ETA: 4s - loss: 10.4014 - mean_absolute_error: 2.4496 473/4840 [=>............................] - ETA: 4s - loss: 10.4023 - mean_absolute_error: 2.4466 527/4840 [==>...........................] - 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mean_absolute_error: 2.45511139/4840 [======>.......................] - ETA: 3s - loss: 10.4784 - mean_absolute_error: 2.45431197/4840 [======>.......................] - ETA: 3s - loss: 10.4749 - mean_absolute_error: 2.45411254/4840 [======>.......................] - ETA: 3s - loss: 10.4799 - mean_absolute_error: 2.45601311/4840 [=======>......................] - ETA: 3s - loss: 10.4935 - mean_absolute_error: 2.45601369/4840 [=======>......................] - ETA: 3s - loss: 10.4826 - mean_absolute_error: 2.45481426/4840 [=======>......................] - ETA: 3s - loss: 10.4986 - mean_absolute_error: 2.45671484/4840 [========>.....................] - ETA: 3s - loss: 10.4969 - mean_absolute_error: 2.45621540/4840 [========>.....................] - ETA: 3s - loss: 10.4974 - mean_absolute_error: 2.45611594/4840 [========>.....................] - ETA: 2s - loss: 10.4821 - mean_absolute_error: 2.45441648/4840 [=========>....................] - ETA: 2s - loss: 10.4972 - mean_absolute_error: 2.45621703/4840 [=========>....................] - 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ETA: 1s - loss: 10.4552 - mean_absolute_error: 2.45242898/4840 [================>.............] - ETA: 1s - loss: 10.4624 - mean_absolute_error: 2.45322952/4840 [=================>............] - ETA: 1s - loss: 10.4643 - mean_absolute_error: 2.45363010/4840 [=================>............] - ETA: 1s - loss: 10.4741 - mean_absolute_error: 2.45473066/4840 [==================>...........] - ETA: 1s - loss: 10.4786 - mean_absolute_error: 2.45583123/4840 [==================>...........] - ETA: 1s - loss: 10.4814 - mean_absolute_error: 2.45653180/4840 [==================>...........] - ETA: 1s - loss: 10.4752 - mean_absolute_error: 2.45593237/4840 [===================>..........] - ETA: 1s - loss: 10.4773 - mean_absolute_error: 2.45573293/4840 [===================>..........] - ETA: 1s - loss: 10.4827 - mean_absolute_error: 2.45693350/4840 [===================>..........] - ETA: 1s - loss: 10.4766 - mean_absolute_error: 2.45653406/4840 [====================>.........] - ETA: 1s - loss: 10.4816 - mean_absolute_error: 2.45743464/4840 [====================>.........] - ETA: 1s - loss: 10.4753 - mean_absolute_error: 2.45673521/4840 [====================>.........] - ETA: 1s - loss: 10.4762 - mean_absolute_error: 2.45713578/4840 [=====================>........] - ETA: 1s - loss: 10.4703 - mean_absolute_error: 2.45643634/4840 [=====================>........] - ETA: 1s - loss: 10.4713 - mean_absolute_error: 2.45603691/4840 [=====================>........] - ETA: 1s - loss: 10.4820 - mean_absolute_error: 2.45773746/4840 [======================>.......] - ETA: 1s - loss: 10.4903 - mean_absolute_error: 2.45903802/4840 [======================>.......] - ETA: 0s - loss: 10.4937 - mean_absolute_error: 2.45943858/4840 [======================>.......] - ETA: 0s - loss: 10.5002 - mean_absolute_error: 2.46043915/4840 [=======================>......] - ETA: 0s - loss: 10.4961 - mean_absolute_error: 2.45933969/4840 [=======================>......] - ETA: 0s - loss: 10.4935 - mean_absolute_error: 2.45944024/4840 [=======================>......] - 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mean_absolute_error: 2.45964638/4840 [===========================>..] - ETA: 0s - loss: 10.4912 - mean_absolute_error: 2.45954695/4840 [============================>.] - ETA: 0s - loss: 10.5038 - mean_absolute_error: 2.46104752/4840 [============================>.] - ETA: 0s - loss: 10.5105 - mean_absolute_error: 2.46214809/4840 [============================>.] - ETA: 0s - loss: 10.5060 - mean_absolute_error: 2.46134840/4840 [==============================] - 5s 958us/step - loss: 10.5035 - mean_absolute_error: 2.4610 - val_loss: 11.4899 - val_mean_absolute_error: 2.5798
Epoch 60/100
   1/4840 [..............................] - ETA: 9s - loss: 6.3340 - mean_absolute_error: 1.9470  57/4840 [..............................] - ETA: 4s - loss: 10.3512 - mean_absolute_error: 2.4358 113/4840 [..............................] - ETA: 4s - loss: 10.3270 - mean_absolute_error: 2.4328 170/4840 [>.............................] - ETA: 4s - loss: 10.4779 - mean_absolute_error: 2.4517 225/4840 [>.............................] - ETA: 4s - loss: 10.4959 - mean_absolute_error: 2.4580 282/4840 [>.............................] - ETA: 4s - loss: 10.6346 - mean_absolute_error: 2.4755 339/4840 [=>............................] - ETA: 4s - loss: 10.6290 - mean_absolute_error: 2.4742 395/4840 [=>............................] - ETA: 3s - loss: 10.5977 - mean_absolute_error: 2.4692 451/4840 [=>............................] - ETA: 3s - loss: 10.4912 - mean_absolute_error: 2.4538 508/4840 [==>...........................] - ETA: 3s - loss: 10.4754 - mean_absolute_error: 2.4525 565/4840 [==>...........................] - 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mean_absolute_error: 2.46303565/4840 [=====================>........] - ETA: 1s - loss: 10.5082 - mean_absolute_error: 2.46233619/4840 [=====================>........] - ETA: 1s - loss: 10.5105 - mean_absolute_error: 2.46293666/4840 [=====================>........] - ETA: 1s - loss: 10.5252 - mean_absolute_error: 2.46473719/4840 [======================>.......] - ETA: 1s - loss: 10.5234 - mean_absolute_error: 2.46433774/4840 [======================>.......] - ETA: 0s - loss: 10.5251 - mean_absolute_error: 2.46513828/4840 [======================>.......] - ETA: 0s - loss: 10.5249 - mean_absolute_error: 2.46533884/4840 [=======================>......] - ETA: 0s - loss: 10.5212 - mean_absolute_error: 2.46443939/4840 [=======================>......] - ETA: 0s - loss: 10.5187 - mean_absolute_error: 2.46423996/4840 [=======================>......] - ETA: 0s - loss: 10.5219 - mean_absolute_error: 2.46434053/4840 [========================>.....] - ETA: 0s - loss: 10.5256 - mean_absolute_error: 2.46454111/4840 [========================>.....] - ETA: 0s - loss: 10.5289 - mean_absolute_error: 2.46474168/4840 [========================>.....] - ETA: 0s - loss: 10.5263 - mean_absolute_error: 2.46424223/4840 [=========================>....] - ETA: 0s - loss: 10.5284 - mean_absolute_error: 2.46454280/4840 [=========================>....] - ETA: 0s - loss: 10.5210 - mean_absolute_error: 2.46344337/4840 [=========================>....] - ETA: 0s - loss: 10.5187 - mean_absolute_error: 2.46304395/4840 [==========================>...] - ETA: 0s - loss: 10.5107 - mean_absolute_error: 2.46214450/4840 [==========================>...] - ETA: 0s - loss: 10.5026 - mean_absolute_error: 2.46124507/4840 [==========================>...] - ETA: 0s - loss: 10.5011 - mean_absolute_error: 2.46124565/4840 [===========================>..] - ETA: 0s - loss: 10.5051 - mean_absolute_error: 2.46184622/4840 [===========================>..] - ETA: 0s - loss: 10.5129 - mean_absolute_error: 2.46274680/4840 [============================>.] - ETA: 0s - loss: 10.5066 - mean_absolute_error: 2.46194738/4840 [============================>.] - ETA: 0s - loss: 10.5054 - mean_absolute_error: 2.46204796/4840 [============================>.] - ETA: 0s - loss: 10.5015 - mean_absolute_error: 2.46134840/4840 [==============================] - 5s 938us/step - loss: 10.5032 - mean_absolute_error: 2.4616 - val_loss: 11.4939 - val_mean_absolute_error: 2.5801
Epoch 61/100
   1/4840 [..............................] - ETA: 4s - loss: 8.1447 - mean_absolute_error: 2.0692  58/4840 [..............................] - ETA: 4s - loss: 10.1229 - mean_absolute_error: 2.4119 115/4840 [..............................] - ETA: 4s - loss: 10.2408 - mean_absolute_error: 2.4287 172/4840 [>.............................] - ETA: 4s - loss: 10.3034 - mean_absolute_error: 2.4306 230/4840 [>.............................] - ETA: 4s - loss: 10.2436 - mean_absolute_error: 2.4275 287/4840 [>.............................] - ETA: 4s - loss: 10.1833 - mean_absolute_error: 2.4186 344/4840 [=>............................] - ETA: 3s - loss: 10.2417 - mean_absolute_error: 2.4285 401/4840 [=>............................] - ETA: 3s - loss: 10.2502 - mean_absolute_error: 2.4307 460/4840 [=>............................] - ETA: 3s - loss: 10.2709 - mean_absolute_error: 2.4344 518/4840 [==>...........................] - ETA: 3s - loss: 10.3414 - mean_absolute_error: 2.4397 576/4840 [==>...........................] - 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mean_absolute_error: 2.45881214/4840 [======>.......................] - ETA: 3s - loss: 10.4238 - mean_absolute_error: 2.44991272/4840 [======>.......................] - ETA: 3s - loss: 10.4446 - mean_absolute_error: 2.45231328/4840 [=======>......................] - ETA: 3s - loss: 10.4574 - mean_absolute_error: 2.45371386/4840 [=======>......................] - ETA: 3s - loss: 10.4596 - mean_absolute_error: 2.45431444/4840 [=======>......................] - ETA: 2s - loss: 10.4809 - mean_absolute_error: 2.45731502/4840 [========>.....................] - ETA: 2s - loss: 10.4776 - mean_absolute_error: 2.45761559/4840 [========>.....................] - ETA: 2s - loss: 10.4966 - mean_absolute_error: 2.46091617/4840 [=========>....................] - ETA: 2s - loss: 10.4789 - mean_absolute_error: 2.45771672/4840 [=========>....................] - ETA: 2s - loss: 10.4758 - mean_absolute_error: 2.45761729/4840 [=========>....................] - ETA: 2s - loss: 10.4854 - mean_absolute_error: 2.45841786/4840 [==========>...................] - 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ETA: 1s - loss: 10.4922 - mean_absolute_error: 2.45963053/4840 [=================>............] - ETA: 1s - loss: 10.4955 - mean_absolute_error: 2.46073111/4840 [==================>...........] - ETA: 1s - loss: 10.5031 - mean_absolute_error: 2.46193169/4840 [==================>...........] - ETA: 1s - loss: 10.4967 - mean_absolute_error: 2.46123228/4840 [===================>..........] - ETA: 1s - loss: 10.4889 - mean_absolute_error: 2.45983286/4840 [===================>..........] - ETA: 1s - loss: 10.4948 - mean_absolute_error: 2.46033344/4840 [===================>..........] - ETA: 1s - loss: 10.4929 - mean_absolute_error: 2.46043402/4840 [====================>.........] - ETA: 1s - loss: 10.4968 - mean_absolute_error: 2.46073461/4840 [====================>.........] - ETA: 1s - loss: 10.4904 - mean_absolute_error: 2.45913520/4840 [====================>.........] - ETA: 1s - loss: 10.4788 - mean_absolute_error: 2.45783577/4840 [=====================>........] - ETA: 1s - loss: 10.4829 - 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ETA: 0s - loss: 10.4964 - mean_absolute_error: 2.46044272/4840 [=========================>....] - ETA: 0s - loss: 10.4970 - mean_absolute_error: 2.46064328/4840 [=========================>....] - ETA: 0s - loss: 10.4951 - mean_absolute_error: 2.46074385/4840 [==========================>...] - ETA: 0s - loss: 10.4990 - mean_absolute_error: 2.46084442/4840 [==========================>...] - ETA: 0s - loss: 10.4973 - mean_absolute_error: 2.46064501/4840 [==========================>...] - ETA: 0s - loss: 10.5049 - mean_absolute_error: 2.46124559/4840 [===========================>..] - ETA: 0s - loss: 10.5048 - mean_absolute_error: 2.46114618/4840 [===========================>..] - ETA: 0s - loss: 10.5097 - mean_absolute_error: 2.46184676/4840 [===========================>..] - ETA: 0s - loss: 10.5051 - mean_absolute_error: 2.46134735/4840 [============================>.] - ETA: 0s - loss: 10.5056 - mean_absolute_error: 2.46164793/4840 [============================>.] - ETA: 0s - loss: 10.5091 - mean_absolute_error: 2.46224840/4840 [==============================] - 4s 915us/step - loss: 10.5035 - mean_absolute_error: 2.4614 - val_loss: 11.4945 - val_mean_absolute_error: 2.5807
Epoch 62/100
   1/4840 [..............................] - ETA: 9s - loss: 5.7390 - mean_absolute_error: 1.9499  59/4840 [..............................] - ETA: 4s - loss: 10.6318 - mean_absolute_error: 2.4798 116/4840 [..............................] - ETA: 4s - loss: 10.5849 - mean_absolute_error: 2.4743 174/4840 [>.............................] - ETA: 4s - loss: 10.6901 - mean_absolute_error: 2.4886 233/4840 [>.............................] - ETA: 4s - loss: 10.6151 - mean_absolute_error: 2.4803 290/4840 [>.............................] - ETA: 3s - loss: 10.5703 - mean_absolute_error: 2.4769 348/4840 [=>............................] - ETA: 3s - loss: 10.5442 - mean_absolute_error: 2.4736 406/4840 [=>............................] - ETA: 3s - loss: 10.5468 - mean_absolute_error: 2.4731 465/4840 [=>............................] - ETA: 3s - loss: 10.4447 - mean_absolute_error: 2.4586 523/4840 [==>...........................] - ETA: 3s - loss: 10.4104 - mean_absolute_error: 2.4508 582/4840 [==>...........................] - ETA: 3s - loss: 10.4137 - mean_absolute_error: 2.4537 640/4840 [==>...........................] - ETA: 3s - loss: 10.4250 - mean_absolute_error: 2.4557 697/4840 [===>..........................] - ETA: 3s - loss: 10.4316 - mean_absolute_error: 2.4584 755/4840 [===>..........................] - ETA: 3s - loss: 10.4545 - mean_absolute_error: 2.4587 815/4840 [====>.........................] - ETA: 3s - loss: 10.3612 - mean_absolute_error: 2.4455 873/4840 [====>.........................] - ETA: 3s - loss: 10.3935 - mean_absolute_error: 2.4494 930/4840 [====>.........................] - ETA: 3s - loss: 10.4442 - mean_absolute_error: 2.4557 988/4840 [=====>........................] - ETA: 3s - loss: 10.4299 - mean_absolute_error: 2.45331046/4840 [=====>........................] - ETA: 3s - loss: 10.4645 - mean_absolute_error: 2.45811103/4840 [=====>........................] - ETA: 3s - loss: 10.4330 - mean_absolute_error: 2.45321159/4840 [======>.......................] - ETA: 3s - loss: 10.4352 - mean_absolute_error: 2.45391216/4840 [======>.......................] - ETA: 3s - loss: 10.4333 - mean_absolute_error: 2.45311274/4840 [======>.......................] - ETA: 3s - loss: 10.4369 - mean_absolute_error: 2.45261332/4840 [=======>......................] - ETA: 3s - loss: 10.3976 - mean_absolute_error: 2.44811389/4840 [=======>......................] - ETA: 3s - loss: 10.3933 - mean_absolute_error: 2.44771447/4840 [=======>......................] - ETA: 2s - loss: 10.3901 - mean_absolute_error: 2.44771505/4840 [========>.....................] - ETA: 2s - loss: 10.3850 - mean_absolute_error: 2.44651561/4840 [========>.....................] - ETA: 2s - loss: 10.3852 - mean_absolute_error: 2.44661619/4840 [=========>....................] - ETA: 2s - loss: 10.3969 - mean_absolute_error: 2.44791677/4840 [=========>....................] - ETA: 2s - loss: 10.4123 - mean_absolute_error: 2.44971733/4840 [=========>....................] - ETA: 2s - loss: 10.4069 - mean_absolute_error: 2.44971790/4840 [==========>...................] - 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mean_absolute_error: 2.46052420/4840 [==============>...............] - ETA: 2s - loss: 10.4664 - mean_absolute_error: 2.45962476/4840 [==============>...............] - ETA: 2s - loss: 10.4798 - mean_absolute_error: 2.46062534/4840 [==============>...............] - ETA: 2s - loss: 10.4763 - mean_absolute_error: 2.46012591/4840 [===============>..............] - ETA: 1s - loss: 10.4718 - mean_absolute_error: 2.45892648/4840 [===============>..............] - ETA: 1s - loss: 10.4636 - mean_absolute_error: 2.45792704/4840 [===============>..............] - ETA: 1s - loss: 10.4530 - mean_absolute_error: 2.45642757/4840 [================>.............] - ETA: 1s - loss: 10.4517 - mean_absolute_error: 2.45622812/4840 [================>.............] - ETA: 1s - loss: 10.4541 - mean_absolute_error: 2.45672870/4840 [================>.............] - ETA: 1s - loss: 10.4628 - mean_absolute_error: 2.45792927/4840 [=================>............] - ETA: 1s - loss: 10.4565 - mean_absolute_error: 2.45742984/4840 [=================>............] - 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mean_absolute_error: 2.45944805/4840 [============================>.] - ETA: 0s - loss: 10.4960 - mean_absolute_error: 2.45924840/4840 [==============================] - 4s 925us/step - loss: 10.5034 - mean_absolute_error: 2.4602 - val_loss: 11.4957 - val_mean_absolute_error: 2.5809
Epoch 63/100
   1/4840 [..............................] - ETA: 4s - loss: 8.6910 - mean_absolute_error: 2.0834  57/4840 [..............................] - ETA: 4s - loss: 11.1961 - mean_absolute_error: 2.5666 114/4840 [..............................] - ETA: 4s - loss: 10.8957 - mean_absolute_error: 2.5185 172/4840 [>.............................] - ETA: 4s - loss: 10.5170 - mean_absolute_error: 2.4661 229/4840 [>.............................] - ETA: 4s - loss: 10.4153 - mean_absolute_error: 2.4506 286/4840 [>.............................] - ETA: 4s - loss: 10.3686 - mean_absolute_error: 2.4458 345/4840 [=>............................] - ETA: 3s - loss: 10.3917 - mean_absolute_error: 2.4471 403/4840 [=>............................] - ETA: 3s - loss: 10.4071 - mean_absolute_error: 2.4513 460/4840 [=>............................] - ETA: 3s - loss: 10.4809 - mean_absolute_error: 2.4585 517/4840 [==>...........................] - ETA: 3s - loss: 10.5384 - mean_absolute_error: 2.4661 575/4840 [==>...........................] - 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mean_absolute_error: 2.46922429/4840 [==============>...............] - ETA: 2s - loss: 10.5644 - mean_absolute_error: 2.46952487/4840 [==============>...............] - ETA: 2s - loss: 10.5501 - mean_absolute_error: 2.46842545/4840 [==============>...............] - ETA: 2s - loss: 10.5478 - mean_absolute_error: 2.46792604/4840 [===============>..............] - ETA: 1s - loss: 10.5352 - mean_absolute_error: 2.46682662/4840 [===============>..............] - ETA: 1s - loss: 10.5296 - mean_absolute_error: 2.46602720/4840 [===============>..............] - ETA: 1s - loss: 10.5350 - mean_absolute_error: 2.46752777/4840 [================>.............] - ETA: 1s - loss: 10.5370 - mean_absolute_error: 2.46742834/4840 [================>.............] - ETA: 1s - loss: 10.5436 - mean_absolute_error: 2.46812891/4840 [================>.............] - ETA: 1s - loss: 10.5364 - mean_absolute_error: 2.46742948/4840 [=================>............] - ETA: 1s - loss: 10.5392 - mean_absolute_error: 2.46783007/4840 [=================>............] - 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mean_absolute_error: 2.46284840/4840 [==============================] - 4s 917us/step - loss: 10.5028 - mean_absolute_error: 2.4628 - val_loss: 11.4916 - val_mean_absolute_error: 2.5798
Epoch 64/100
   1/4840 [..............................] - ETA: 4s - loss: 12.1319 - mean_absolute_error: 2.7646  58/4840 [..............................] - ETA: 4s - loss: 10.3597 - mean_absolute_error: 2.4484 114/4840 [..............................] - ETA: 4s - loss: 10.3011 - mean_absolute_error: 2.4467 170/4840 [>.............................] - ETA: 4s - loss: 10.5464 - mean_absolute_error: 2.4620 227/4840 [>.............................] - ETA: 4s - loss: 10.5280 - mean_absolute_error: 2.4563 282/4840 [>.............................] - ETA: 4s - loss: 10.3563 - mean_absolute_error: 2.4328 338/4840 [=>............................] - ETA: 4s - loss: 10.3516 - mean_absolute_error: 2.4375 396/4840 [=>............................] - ETA: 3s - loss: 10.3346 - mean_absolute_error: 2.4339 453/4840 [=>............................] - ETA: 3s - loss: 10.4576 - mean_absolute_error: 2.4484 506/4840 [==>...........................] - ETA: 3s - loss: 10.4095 - mean_absolute_error: 2.4453 562/4840 [==>...........................] - ETA: 3s - loss: 10.4083 - mean_absolute_error: 2.4457 618/4840 [==>...........................] - ETA: 3s - loss: 10.3936 - mean_absolute_error: 2.4440 676/4840 [===>..........................] - ETA: 3s - loss: 10.4101 - mean_absolute_error: 2.4448 733/4840 [===>..........................] - ETA: 3s - loss: 10.3896 - mean_absolute_error: 2.4461 790/4840 [===>..........................] - ETA: 3s - loss: 10.4254 - mean_absolute_error: 2.4492 848/4840 [====>.........................] - ETA: 3s - loss: 10.4279 - mean_absolute_error: 2.4514 903/4840 [====>.........................] - ETA: 3s - loss: 10.3972 - mean_absolute_error: 2.4476 957/4840 [====>.........................] - ETA: 3s - loss: 10.4001 - mean_absolute_error: 2.44911014/4840 [=====>........................] - ETA: 3s - loss: 10.4239 - mean_absolute_error: 2.45101071/4840 [=====>........................] - ETA: 3s - loss: 10.3950 - mean_absolute_error: 2.44861129/4840 [=====>........................] - ETA: 3s - loss: 10.3706 - mean_absolute_error: 2.44591186/4840 [======>.......................] - ETA: 3s - loss: 10.3832 - mean_absolute_error: 2.44691243/4840 [======>.......................] - ETA: 3s - loss: 10.3988 - mean_absolute_error: 2.44911300/4840 [=======>......................] - ETA: 3s - loss: 10.4011 - mean_absolute_error: 2.44941358/4840 [=======>......................] - ETA: 3s - loss: 10.3886 - mean_absolute_error: 2.44881416/4840 [=======>......................] - ETA: 3s - loss: 10.3907 - mean_absolute_error: 2.44911475/4840 [========>.....................] - ETA: 2s - loss: 10.3977 - mean_absolute_error: 2.44831534/4840 [========>.....................] - ETA: 2s - loss: 10.4035 - mean_absolute_error: 2.44941591/4840 [========>.....................] - ETA: 2s - loss: 10.3952 - mean_absolute_error: 2.44791646/4840 [=========>....................] - ETA: 2s - loss: 10.4249 - mean_absolute_error: 2.45091704/4840 [=========>....................] - ETA: 2s - loss: 10.4204 - mean_absolute_error: 2.45081760/4840 [=========>....................] - 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ETA: 1s - loss: 10.4870 - mean_absolute_error: 2.45803024/4840 [=================>............] - ETA: 1s - loss: 10.4861 - mean_absolute_error: 2.45753081/4840 [==================>...........] - ETA: 1s - loss: 10.4890 - mean_absolute_error: 2.45793139/4840 [==================>...........] - ETA: 1s - loss: 10.4913 - mean_absolute_error: 2.45863197/4840 [==================>...........] - ETA: 1s - loss: 10.4891 - mean_absolute_error: 2.45793255/4840 [===================>..........] - ETA: 1s - loss: 10.4814 - mean_absolute_error: 2.45743314/4840 [===================>..........] - ETA: 1s - loss: 10.4806 - mean_absolute_error: 2.45753373/4840 [===================>..........] - ETA: 1s - loss: 10.4860 - mean_absolute_error: 2.45803431/4840 [====================>.........] - ETA: 1s - loss: 10.4806 - mean_absolute_error: 2.45753488/4840 [====================>.........] - ETA: 1s - loss: 10.4752 - mean_absolute_error: 2.45713545/4840 [====================>.........] - ETA: 1s - loss: 10.4723 - mean_absolute_error: 2.45693603/4840 [=====================>........] - ETA: 1s - loss: 10.4805 - mean_absolute_error: 2.45743660/4840 [=====================>........] - ETA: 1s - loss: 10.4780 - mean_absolute_error: 2.45693717/4840 [======================>.......] - ETA: 0s - loss: 10.4872 - mean_absolute_error: 2.45793774/4840 [======================>.......] - ETA: 0s - loss: 10.4842 - mean_absolute_error: 2.45773832/4840 [======================>.......] - ETA: 0s - loss: 10.4876 - mean_absolute_error: 2.45803888/4840 [=======================>......] - ETA: 0s - loss: 10.4935 - mean_absolute_error: 2.45863943/4840 [=======================>......] - ETA: 0s - loss: 10.4912 - mean_absolute_error: 2.45824000/4840 [=======================>......] - ETA: 0s - loss: 10.4935 - mean_absolute_error: 2.45874058/4840 [========================>.....] - ETA: 0s - loss: 10.4926 - mean_absolute_error: 2.45864114/4840 [========================>.....] - ETA: 0s - loss: 10.4984 - mean_absolute_error: 2.45974168/4840 [========================>.....] - 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mean_absolute_error: 2.46104796/4840 [============================>.] - ETA: 0s - loss: 10.4991 - mean_absolute_error: 2.46074840/4840 [==============================] - 4s 923us/step - loss: 10.5040 - mean_absolute_error: 2.4613 - val_loss: 11.4911 - val_mean_absolute_error: 2.5801
Epoch 65/100
   1/4840 [..............................] - ETA: 9s - loss: 12.8379 - mean_absolute_error: 2.5603  58/4840 [..............................] - ETA: 4s - loss: 10.6239 - mean_absolute_error: 2.4920 116/4840 [..............................] - ETA: 4s - loss: 10.2070 - mean_absolute_error: 2.4178 173/4840 [>.............................] - ETA: 4s - loss: 9.9976 - mean_absolute_error: 2.3941  231/4840 [>.............................] - ETA: 4s - loss: 9.9773 - mean_absolute_error: 2.3869 289/4840 [>.............................] - ETA: 3s - loss: 10.1093 - mean_absolute_error: 2.4075 347/4840 [=>............................] - ETA: 3s - loss: 10.1280 - mean_absolute_error: 2.4055 405/4840 [=>............................] - ETA: 3s - loss: 10.1518 - mean_absolute_error: 2.4049 464/4840 [=>............................] - ETA: 3s - loss: 10.1565 - mean_absolute_error: 2.4087 524/4840 [==>...........................] - ETA: 3s - loss: 10.1633 - mean_absolute_error: 2.4110 582/4840 [==>...........................] - 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mean_absolute_error: 2.46014830/4840 [============================>.] - ETA: 0s - loss: 10.5064 - mean_absolute_error: 2.46144840/4840 [==============================] - 4s 921us/step - loss: 10.5030 - mean_absolute_error: 2.4610 - val_loss: 11.4906 - val_mean_absolute_error: 2.5804
Epoch 66/100
   1/4840 [..............................] - ETA: 9s - loss: 9.4704 - mean_absolute_error: 2.3295  61/4840 [..............................] - ETA: 4s - loss: 11.1450 - mean_absolute_error: 2.5605 119/4840 [..............................] - ETA: 4s - loss: 10.7415 - mean_absolute_error: 2.5001 177/4840 [>.............................] - ETA: 4s - loss: 10.5849 - mean_absolute_error: 2.4713 235/4840 [>.............................] - ETA: 3s - loss: 10.6244 - mean_absolute_error: 2.4718 294/4840 [>.............................] - ETA: 3s - loss: 10.6392 - mean_absolute_error: 2.4736 350/4840 [=>............................] - ETA: 3s - loss: 10.6269 - mean_absolute_error: 2.4747 405/4840 [=>............................] - ETA: 3s - loss: 10.6443 - mean_absolute_error: 2.4785 459/4840 [=>............................] - ETA: 3s - loss: 10.6413 - mean_absolute_error: 2.4782 517/4840 [==>...........................] - ETA: 3s - loss: 10.5578 - mean_absolute_error: 2.4668 572/4840 [==>...........................] - ETA: 3s - loss: 10.5333 - mean_absolute_error: 2.4655 628/4840 [==>...........................] - ETA: 3s - loss: 10.4832 - mean_absolute_error: 2.4590 684/4840 [===>..........................] - ETA: 3s - loss: 10.4455 - mean_absolute_error: 2.4538 742/4840 [===>..........................] - ETA: 3s - loss: 10.4293 - mean_absolute_error: 2.4508 799/4840 [===>..........................] - ETA: 3s - loss: 10.3659 - mean_absolute_error: 2.4431 857/4840 [====>.........................] - ETA: 3s - loss: 10.3827 - mean_absolute_error: 2.4442 914/4840 [====>.........................] - ETA: 3s - loss: 10.3715 - mean_absolute_error: 2.4417 972/4840 [=====>........................] - ETA: 3s - loss: 10.3907 - mean_absolute_error: 2.44641030/4840 [=====>........................] - ETA: 3s - loss: 10.3634 - mean_absolute_error: 2.44271089/4840 [=====>........................] - ETA: 3s - loss: 10.3687 - mean_absolute_error: 2.44381147/4840 [======>.......................] - ETA: 3s - loss: 10.3960 - mean_absolute_error: 2.44671204/4840 [======>.......................] - ETA: 3s - loss: 10.4101 - mean_absolute_error: 2.44771262/4840 [======>.......................] - ETA: 3s - loss: 10.4490 - mean_absolute_error: 2.45251318/4840 [=======>......................] - ETA: 3s - loss: 10.4359 - mean_absolute_error: 2.45071375/4840 [=======>......................] - ETA: 3s - loss: 10.4330 - mean_absolute_error: 2.45031432/4840 [=======>......................] - ETA: 3s - loss: 10.4254 - mean_absolute_error: 2.44961489/4840 [========>.....................] - ETA: 2s - loss: 10.4277 - mean_absolute_error: 2.44981546/4840 [========>.....................] - ETA: 2s - loss: 10.4371 - mean_absolute_error: 2.45141602/4840 [========>.....................] - ETA: 2s - loss: 10.4335 - mean_absolute_error: 2.45081660/4840 [=========>....................] - ETA: 2s - loss: 10.4271 - mean_absolute_error: 2.45081716/4840 [=========>....................] - ETA: 2s - loss: 10.4164 - mean_absolute_error: 2.44921774/4840 [=========>....................] - 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ETA: 1s - loss: 10.4054 - mean_absolute_error: 2.44793047/4840 [=================>............] - ETA: 1s - loss: 10.4101 - mean_absolute_error: 2.44843104/4840 [==================>...........] - ETA: 1s - loss: 10.4202 - mean_absolute_error: 2.44953162/4840 [==================>...........] - ETA: 1s - loss: 10.4257 - mean_absolute_error: 2.44973220/4840 [==================>...........] - ETA: 1s - loss: 10.4230 - mean_absolute_error: 2.44903277/4840 [===================>..........] - ETA: 1s - loss: 10.4101 - mean_absolute_error: 2.44753335/4840 [===================>..........] - ETA: 1s - loss: 10.4190 - mean_absolute_error: 2.44863393/4840 [====================>.........] - ETA: 1s - loss: 10.4282 - mean_absolute_error: 2.44913451/4840 [====================>.........] - ETA: 1s - loss: 10.4416 - mean_absolute_error: 2.45143509/4840 [====================>.........] - ETA: 1s - loss: 10.4406 - mean_absolute_error: 2.45153568/4840 [=====================>........] - ETA: 1s - loss: 10.4482 - 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ETA: 0s - loss: 10.4668 - mean_absolute_error: 2.45494242/4840 [=========================>....] - ETA: 0s - loss: 10.4748 - mean_absolute_error: 2.45584298/4840 [=========================>....] - ETA: 0s - loss: 10.4835 - mean_absolute_error: 2.45714356/4840 [==========================>...] - ETA: 0s - loss: 10.4850 - mean_absolute_error: 2.45694413/4840 [==========================>...] - ETA: 0s - loss: 10.4844 - mean_absolute_error: 2.45714471/4840 [==========================>...] - ETA: 0s - loss: 10.4861 - mean_absolute_error: 2.45744529/4840 [===========================>..] - ETA: 0s - loss: 10.4936 - mean_absolute_error: 2.45864587/4840 [===========================>..] - ETA: 0s - loss: 10.4978 - mean_absolute_error: 2.45944644/4840 [===========================>..] - ETA: 0s - loss: 10.5000 - mean_absolute_error: 2.45944702/4840 [============================>.] - ETA: 0s - loss: 10.4981 - mean_absolute_error: 2.45984760/4840 [============================>.] - ETA: 0s - loss: 10.4969 - mean_absolute_error: 2.45974818/4840 [============================>.] - ETA: 0s - loss: 10.5019 - mean_absolute_error: 2.46054840/4840 [==============================] - 4s 922us/step - loss: 10.5028 - mean_absolute_error: 2.4606 - val_loss: 11.4900 - val_mean_absolute_error: 2.5801
Epoch 67/100
   1/4840 [..............................] - ETA: 4s - loss: 7.7935 - mean_absolute_error: 2.2482  56/4840 [..............................] - ETA: 4s - loss: 10.5686 - mean_absolute_error: 2.4710 113/4840 [..............................] - ETA: 4s - loss: 10.1349 - mean_absolute_error: 2.4183 171/4840 [>.............................] - ETA: 4s - loss: 10.3764 - mean_absolute_error: 2.4503 228/4840 [>.............................] - ETA: 4s - loss: 10.4020 - mean_absolute_error: 2.4553 286/4840 [>.............................] - ETA: 4s - loss: 10.3579 - mean_absolute_error: 2.4527 343/4840 [=>............................] - ETA: 3s - loss: 10.4783 - mean_absolute_error: 2.4656 401/4840 [=>............................] - ETA: 3s - loss: 10.4783 - mean_absolute_error: 2.4631 458/4840 [=>............................] - ETA: 3s - loss: 10.5636 - mean_absolute_error: 2.4710 515/4840 [==>...........................] - ETA: 3s - loss: 10.5001 - mean_absolute_error: 2.4606 572/4840 [==>...........................] - ETA: 3s - loss: 10.5057 - mean_absolute_error: 2.4602 629/4840 [==>...........................] - ETA: 3s - loss: 10.4740 - mean_absolute_error: 2.4570 687/4840 [===>..........................] - ETA: 3s - loss: 10.4772 - mean_absolute_error: 2.4572 745/4840 [===>..........................] - ETA: 3s - loss: 10.4606 - mean_absolute_error: 2.4564 800/4840 [===>..........................] - ETA: 3s - loss: 10.4719 - mean_absolute_error: 2.4589 857/4840 [====>.........................] - ETA: 3s - loss: 10.4654 - mean_absolute_error: 2.4573 915/4840 [====>.........................] - ETA: 3s - loss: 10.4486 - mean_absolute_error: 2.4531 973/4840 [=====>........................] - ETA: 3s - loss: 10.4291 - mean_absolute_error: 2.44901030/4840 [=====>........................] - ETA: 3s - loss: 10.4668 - mean_absolute_error: 2.45481088/4840 [=====>........................] - ETA: 3s - loss: 10.4592 - mean_absolute_error: 2.45431146/4840 [======>.......................] - ETA: 3s - loss: 10.5008 - 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ETA: 2s - loss: 10.4419 - mean_absolute_error: 2.45211837/4840 [==========>...................] - ETA: 2s - loss: 10.4413 - mean_absolute_error: 2.45151896/4840 [==========>...................] - ETA: 2s - loss: 10.4443 - mean_absolute_error: 2.45241953/4840 [===========>..................] - ETA: 2s - loss: 10.4566 - mean_absolute_error: 2.45352010/4840 [===========>..................] - ETA: 2s - loss: 10.4441 - mean_absolute_error: 2.45162067/4840 [===========>..................] - ETA: 2s - loss: 10.4577 - mean_absolute_error: 2.45372124/4840 [============>.................] - ETA: 2s - loss: 10.4665 - mean_absolute_error: 2.45462181/4840 [============>.................] - ETA: 2s - loss: 10.4722 - mean_absolute_error: 2.45522238/4840 [============>.................] - ETA: 2s - loss: 10.4723 - mean_absolute_error: 2.45592292/4840 [=============>................] - ETA: 2s - loss: 10.4690 - mean_absolute_error: 2.45562337/4840 [=============>................] - ETA: 2s - loss: 10.4841 - mean_absolute_error: 2.45812387/4840 [=============>................] - ETA: 2s - loss: 10.4686 - mean_absolute_error: 2.45642442/4840 [==============>...............] - ETA: 2s - loss: 10.4608 - mean_absolute_error: 2.45572496/4840 [==============>...............] - ETA: 2s - loss: 10.4726 - mean_absolute_error: 2.45652551/4840 [==============>...............] - ETA: 2s - loss: 10.4785 - mean_absolute_error: 2.45652608/4840 [===============>..............] - ETA: 1s - loss: 10.4704 - mean_absolute_error: 2.45472665/4840 [===============>..............] - ETA: 1s - loss: 10.4585 - mean_absolute_error: 2.45282723/4840 [===============>..............] - ETA: 1s - loss: 10.4576 - mean_absolute_error: 2.45302781/4840 [================>.............] - ETA: 1s - loss: 10.4699 - mean_absolute_error: 2.45492838/4840 [================>.............] - ETA: 1s - loss: 10.4745 - mean_absolute_error: 2.45582896/4840 [================>.............] - ETA: 1s - loss: 10.4823 - mean_absolute_error: 2.45662954/4840 [=================>............] - 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mean_absolute_error: 2.45353575/4840 [=====================>........] - ETA: 1s - loss: 10.4545 - mean_absolute_error: 2.45313631/4840 [=====================>........] - ETA: 1s - loss: 10.4649 - mean_absolute_error: 2.45443687/4840 [=====================>........] - ETA: 1s - loss: 10.4668 - mean_absolute_error: 2.45463744/4840 [======================>.......] - ETA: 0s - loss: 10.4650 - mean_absolute_error: 2.45483802/4840 [======================>.......] - ETA: 0s - loss: 10.4807 - mean_absolute_error: 2.45673860/4840 [======================>.......] - ETA: 0s - loss: 10.4871 - mean_absolute_error: 2.45763919/4840 [=======================>......] - ETA: 0s - loss: 10.4986 - mean_absolute_error: 2.45933975/4840 [=======================>......] - ETA: 0s - loss: 10.5050 - mean_absolute_error: 2.46014033/4840 [=======================>......] - ETA: 0s - loss: 10.4992 - mean_absolute_error: 2.45964090/4840 [========================>.....] - ETA: 0s - loss: 10.5080 - mean_absolute_error: 2.46114147/4840 [========================>.....] - 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mean_absolute_error: 2.46224778/4840 [============================>.] - ETA: 0s - loss: 10.5066 - mean_absolute_error: 2.46184836/4840 [============================>.] - ETA: 0s - loss: 10.5035 - mean_absolute_error: 2.46154840/4840 [==============================] - 4s 928us/step - loss: 10.5029 - mean_absolute_error: 2.4614 - val_loss: 11.4923 - val_mean_absolute_error: 2.5807
Epoch 68/100
   1/4840 [..............................] - ETA: 9s - loss: 6.0898 - mean_absolute_error: 1.8319  59/4840 [..............................] - ETA: 4s - loss: 10.2145 - mean_absolute_error: 2.4448 117/4840 [..............................] - ETA: 4s - loss: 10.3860 - mean_absolute_error: 2.4619 175/4840 [>.............................] - ETA: 4s - loss: 10.4722 - mean_absolute_error: 2.4648 232/4840 [>.............................] - ETA: 4s - loss: 10.3754 - mean_absolute_error: 2.4408 290/4840 [>.............................] - ETA: 3s - loss: 10.4096 - mean_absolute_error: 2.4450 349/4840 [=>............................] - ETA: 3s - loss: 10.5076 - mean_absolute_error: 2.4560 406/4840 [=>............................] - ETA: 3s - loss: 10.5041 - mean_absolute_error: 2.4588 464/4840 [=>............................] - ETA: 3s - loss: 10.4290 - mean_absolute_error: 2.4507 521/4840 [==>...........................] - ETA: 3s - loss: 10.3533 - mean_absolute_error: 2.4405 578/4840 [==>...........................] - 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mean_absolute_error: 2.44201216/4840 [======>.......................] - ETA: 3s - loss: 10.3611 - mean_absolute_error: 2.44391273/4840 [======>.......................] - ETA: 3s - loss: 10.3431 - mean_absolute_error: 2.44291332/4840 [=======>......................] - ETA: 3s - loss: 10.3300 - mean_absolute_error: 2.44121390/4840 [=======>......................] - ETA: 3s - loss: 10.3298 - mean_absolute_error: 2.44211448/4840 [=======>......................] - ETA: 2s - loss: 10.3337 - mean_absolute_error: 2.44191507/4840 [========>.....................] - ETA: 2s - loss: 10.3315 - mean_absolute_error: 2.44111565/4840 [========>.....................] - ETA: 2s - loss: 10.3394 - mean_absolute_error: 2.44241623/4840 [=========>....................] - ETA: 2s - loss: 10.3325 - mean_absolute_error: 2.44141683/4840 [=========>....................] - ETA: 2s - loss: 10.3662 - mean_absolute_error: 2.44651742/4840 [=========>....................] - ETA: 2s - loss: 10.3693 - mean_absolute_error: 2.44611796/4840 [==========>...................] - 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mean_absolute_error: 2.46094813/4840 [============================>.] - ETA: 0s - loss: 10.5057 - mean_absolute_error: 2.46084840/4840 [==============================] - 4s 922us/step - loss: 10.5033 - mean_absolute_error: 2.4606 - val_loss: 11.4922 - val_mean_absolute_error: 2.5806
Epoch 69/100
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ETA: 1s - loss: 10.5023 - mean_absolute_error: 2.46213011/4840 [=================>............] - ETA: 1s - loss: 10.5098 - mean_absolute_error: 2.46273070/4840 [==================>...........] - ETA: 1s - loss: 10.5079 - mean_absolute_error: 2.46233128/4840 [==================>...........] - ETA: 1s - loss: 10.4968 - mean_absolute_error: 2.46073185/4840 [==================>...........] - ETA: 1s - loss: 10.4925 - mean_absolute_error: 2.46013243/4840 [===================>..........] - ETA: 1s - loss: 10.4940 - mean_absolute_error: 2.46053301/4840 [===================>..........] - ETA: 1s - loss: 10.4942 - mean_absolute_error: 2.46083358/4840 [===================>..........] - ETA: 1s - loss: 10.5003 - mean_absolute_error: 2.46193416/4840 [====================>.........] - ETA: 1s - loss: 10.5001 - mean_absolute_error: 2.46173474/4840 [====================>.........] - ETA: 1s - loss: 10.5006 - mean_absolute_error: 2.46183528/4840 [====================>.........] - ETA: 1s - loss: 10.4951 - mean_absolute_error: 2.46143584/4840 [=====================>........] - ETA: 1s - loss: 10.4988 - mean_absolute_error: 2.46153642/4840 [=====================>........] - ETA: 1s - loss: 10.4986 - mean_absolute_error: 2.46163699/4840 [=====================>........] - ETA: 1s - loss: 10.4964 - mean_absolute_error: 2.46133757/4840 [======================>.......] - ETA: 0s - loss: 10.4867 - mean_absolute_error: 2.46043815/4840 [======================>.......] - ETA: 0s - loss: 10.4843 - mean_absolute_error: 2.46053871/4840 [======================>.......] - ETA: 0s - loss: 10.4881 - mean_absolute_error: 2.46093929/4840 [=======================>......] - ETA: 0s - loss: 10.4919 - mean_absolute_error: 2.46113987/4840 [=======================>......] - ETA: 0s - loss: 10.4915 - mean_absolute_error: 2.46104045/4840 [========================>.....] - ETA: 0s - loss: 10.4895 - mean_absolute_error: 2.46084104/4840 [========================>.....] - ETA: 0s - loss: 10.4906 - mean_absolute_error: 2.46104161/4840 [========================>.....] - 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mean_absolute_error: 2.46234783/4840 [============================>.] - ETA: 0s - loss: 10.5030 - mean_absolute_error: 2.46194840/4840 [==============================] - 4s 927us/step - loss: 10.5030 - mean_absolute_error: 2.4618 - val_loss: 11.4899 - val_mean_absolute_error: 2.5804
Epoch 70/100
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ETA: 0s - loss: 10.4898 - mean_absolute_error: 2.46014101/4840 [========================>.....] - ETA: 0s - loss: 10.4838 - mean_absolute_error: 2.45954158/4840 [========================>.....] - ETA: 0s - loss: 10.4940 - mean_absolute_error: 2.46084216/4840 [=========================>....] - ETA: 0s - loss: 10.4993 - mean_absolute_error: 2.46164272/4840 [=========================>....] - ETA: 0s - loss: 10.4969 - mean_absolute_error: 2.46134329/4840 [=========================>....] - ETA: 0s - loss: 10.4973 - mean_absolute_error: 2.46154383/4840 [==========================>...] - ETA: 0s - loss: 10.4947 - mean_absolute_error: 2.46124439/4840 [==========================>...] - ETA: 0s - loss: 10.4974 - mean_absolute_error: 2.46164496/4840 [==========================>...] - ETA: 0s - loss: 10.5003 - mean_absolute_error: 2.46224554/4840 [===========================>..] - ETA: 0s - loss: 10.5027 - mean_absolute_error: 2.46284612/4840 [===========================>..] - ETA: 0s - loss: 10.5082 - mean_absolute_error: 2.46324669/4840 [===========================>..] - ETA: 0s - loss: 10.5062 - mean_absolute_error: 2.46264726/4840 [============================>.] - ETA: 0s - loss: 10.5069 - mean_absolute_error: 2.46254783/4840 [============================>.] - ETA: 0s - loss: 10.5074 - mean_absolute_error: 2.46274840/4840 [==============================] - ETA: 0s - loss: 10.5032 - mean_absolute_error: 2.46204840/4840 [==============================] - 5s 948us/step - loss: 10.5032 - mean_absolute_error: 2.4620 - val_loss: 11.4884 - val_mean_absolute_error: 2.5790
Epoch 71/100
   1/4840 [..............................] - ETA: 9s - loss: 14.6259 - mean_absolute_error: 3.0367  58/4840 [..............................] - ETA: 4s - loss: 10.3476 - mean_absolute_error: 2.4613 115/4840 [..............................] - ETA: 4s - loss: 10.2549 - mean_absolute_error: 2.4459 173/4840 [>.............................] - ETA: 4s - loss: 10.4117 - mean_absolute_error: 2.4583 230/4840 [>.............................] - ETA: 4s - loss: 10.4309 - mean_absolute_error: 2.4553 288/4840 [>.............................] - ETA: 4s - loss: 10.3722 - mean_absolute_error: 2.4503 345/4840 [=>............................] - ETA: 3s - loss: 10.4093 - mean_absolute_error: 2.4564 402/4840 [=>............................] - ETA: 3s - loss: 10.4282 - mean_absolute_error: 2.4569 459/4840 [=>............................] - ETA: 3s - loss: 10.3891 - mean_absolute_error: 2.4505 515/4840 [==>...........................] - ETA: 3s - loss: 10.3724 - mean_absolute_error: 2.4456 573/4840 [==>...........................] - 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mean_absolute_error: 2.44851192/4840 [======>.......................] - ETA: 3s - loss: 10.3994 - mean_absolute_error: 2.44881249/4840 [======>.......................] - ETA: 3s - loss: 10.3994 - mean_absolute_error: 2.44871307/4840 [=======>......................] - ETA: 3s - loss: 10.3848 - mean_absolute_error: 2.44631365/4840 [=======>......................] - ETA: 3s - loss: 10.3974 - mean_absolute_error: 2.44771424/4840 [=======>......................] - ETA: 3s - loss: 10.3902 - mean_absolute_error: 2.44671481/4840 [========>.....................] - ETA: 2s - loss: 10.3938 - mean_absolute_error: 2.44761539/4840 [========>.....................] - ETA: 2s - loss: 10.3932 - mean_absolute_error: 2.44791596/4840 [========>.....................] - ETA: 2s - loss: 10.4073 - mean_absolute_error: 2.45031650/4840 [=========>....................] - ETA: 2s - loss: 10.3889 - mean_absolute_error: 2.44781707/4840 [=========>....................] - ETA: 2s - loss: 10.3915 - mean_absolute_error: 2.44771761/4840 [=========>....................] - ETA: 2s - loss: 10.3916 - mean_absolute_error: 2.44741819/4840 [==========>...................] - ETA: 2s - loss: 10.4062 - mean_absolute_error: 2.44961875/4840 [==========>...................] - ETA: 2s - loss: 10.4258 - mean_absolute_error: 2.45271932/4840 [==========>...................] - ETA: 2s - loss: 10.4185 - mean_absolute_error: 2.45191989/4840 [===========>..................] - ETA: 2s - loss: 10.4029 - mean_absolute_error: 2.45012046/4840 [===========>..................] - ETA: 2s - loss: 10.4214 - mean_absolute_error: 2.45272102/4840 [============>.................] - ETA: 2s - loss: 10.4473 - mean_absolute_error: 2.45502156/4840 [============>.................] - ETA: 2s - loss: 10.4481 - mean_absolute_error: 2.45522212/4840 [============>.................] - ETA: 2s - loss: 10.4519 - mean_absolute_error: 2.45602267/4840 [=============>................] - ETA: 2s - loss: 10.4615 - mean_absolute_error: 2.45692320/4840 [=============>................] - ETA: 2s - loss: 10.4537 - 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ETA: 1s - loss: 10.4699 - mean_absolute_error: 2.45832973/4840 [=================>............] - ETA: 1s - loss: 10.4760 - mean_absolute_error: 2.45933029/4840 [=================>............] - ETA: 1s - loss: 10.4847 - mean_absolute_error: 2.46043085/4840 [==================>...........] - ETA: 1s - loss: 10.4839 - mean_absolute_error: 2.46043143/4840 [==================>...........] - ETA: 1s - loss: 10.4907 - mean_absolute_error: 2.46113199/4840 [==================>...........] - ETA: 1s - loss: 10.4942 - mean_absolute_error: 2.46213256/4840 [===================>..........] - ETA: 1s - loss: 10.4891 - mean_absolute_error: 2.46133313/4840 [===================>..........] - ETA: 1s - loss: 10.4821 - mean_absolute_error: 2.46023368/4840 [===================>..........] - ETA: 1s - loss: 10.4747 - mean_absolute_error: 2.45933426/4840 [====================>.........] - ETA: 1s - loss: 10.4719 - mean_absolute_error: 2.45883483/4840 [====================>.........] - ETA: 1s - loss: 10.4713 - mean_absolute_error: 2.45803541/4840 [====================>.........] - ETA: 1s - loss: 10.4822 - mean_absolute_error: 2.45953597/4840 [=====================>........] - ETA: 1s - loss: 10.4942 - mean_absolute_error: 2.46073655/4840 [=====================>........] - ETA: 1s - loss: 10.4934 - mean_absolute_error: 2.46063713/4840 [======================>.......] - ETA: 1s - loss: 10.5031 - mean_absolute_error: 2.46213770/4840 [======================>.......] - ETA: 0s - loss: 10.5082 - mean_absolute_error: 2.46253825/4840 [======================>.......] - ETA: 0s - loss: 10.5153 - mean_absolute_error: 2.46323883/4840 [=======================>......] - ETA: 0s - loss: 10.5174 - mean_absolute_error: 2.46353940/4840 [=======================>......] - ETA: 0s - loss: 10.5204 - mean_absolute_error: 2.46383997/4840 [=======================>......] - ETA: 0s - loss: 10.5314 - mean_absolute_error: 2.46524055/4840 [========================>.....] - ETA: 0s - loss: 10.5308 - mean_absolute_error: 2.46514113/4840 [========================>.....] - 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mean_absolute_error: 2.46344739/4840 [============================>.] - ETA: 0s - loss: 10.4997 - mean_absolute_error: 2.46154796/4840 [============================>.] - ETA: 0s - loss: 10.5006 - mean_absolute_error: 2.46124840/4840 [==============================] - 5s 938us/step - loss: 10.5029 - mean_absolute_error: 2.4615 - val_loss: 11.4917 - val_mean_absolute_error: 2.5796
Epoch 72/100
   1/4840 [..............................] - ETA: 9s - loss: 7.2809 - mean_absolute_error: 2.2152  56/4840 [..............................] - ETA: 4s - loss: 10.3268 - mean_absolute_error: 2.4395 113/4840 [..............................] - ETA: 4s - loss: 10.3640 - mean_absolute_error: 2.4460 168/4840 [>.............................] - ETA: 4s - loss: 10.2841 - mean_absolute_error: 2.4417 226/4840 [>.............................] - ETA: 4s - loss: 10.3421 - mean_absolute_error: 2.4497 283/4840 [>.............................] - ETA: 4s - loss: 10.4195 - mean_absolute_error: 2.4581 341/4840 [=>............................] - ETA: 3s - loss: 10.4098 - mean_absolute_error: 2.4608 399/4840 [=>............................] - ETA: 3s - loss: 10.4454 - mean_absolute_error: 2.4641 455/4840 [=>............................] - ETA: 3s - loss: 10.4549 - mean_absolute_error: 2.4687 511/4840 [==>...........................] - ETA: 3s - loss: 10.4452 - mean_absolute_error: 2.4642 567/4840 [==>...........................] - 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mean_absolute_error: 2.46084782/4840 [============================>.] - ETA: 0s - loss: 10.4998 - mean_absolute_error: 2.46054839/4840 [============================>.] - ETA: 0s - loss: 10.5037 - mean_absolute_error: 2.46084840/4840 [==============================] - 5s 933us/step - loss: 10.5033 - mean_absolute_error: 2.4607 - val_loss: 11.4901 - val_mean_absolute_error: 2.5801
Epoch 73/100
   1/4840 [..............................] - ETA: 9s - loss: 11.1208 - mean_absolute_error: 2.5058  59/4840 [..............................] - ETA: 4s - loss: 10.3423 - mean_absolute_error: 2.4526 118/4840 [..............................] - ETA: 4s - loss: 9.9690 - mean_absolute_error: 2.3912  176/4840 [>.............................] - ETA: 4s - loss: 10.1496 - mean_absolute_error: 2.4080 234/4840 [>.............................] - ETA: 4s - loss: 10.3849 - mean_absolute_error: 2.4341 291/4840 [>.............................] - ETA: 3s - loss: 10.4442 - mean_absolute_error: 2.4415 349/4840 [=>............................] - ETA: 3s - loss: 10.4066 - mean_absolute_error: 2.4387 408/4840 [=>............................] - ETA: 3s - loss: 10.4421 - mean_absolute_error: 2.4451 466/4840 [=>............................] - ETA: 3s - loss: 10.3611 - mean_absolute_error: 2.4340 522/4840 [==>...........................] - ETA: 3s - loss: 10.3609 - mean_absolute_error: 2.4369 579/4840 [==>...........................] - 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mean_absolute_error: 2.44011209/4840 [======>.......................] - ETA: 3s - loss: 10.3647 - mean_absolute_error: 2.43891265/4840 [======>.......................] - ETA: 3s - loss: 10.3890 - mean_absolute_error: 2.44161322/4840 [=======>......................] - ETA: 3s - loss: 10.3847 - mean_absolute_error: 2.44281379/4840 [=======>......................] - ETA: 3s - loss: 10.3801 - mean_absolute_error: 2.44271436/4840 [=======>......................] - ETA: 2s - loss: 10.3911 - mean_absolute_error: 2.44431493/4840 [========>.....................] - ETA: 2s - loss: 10.4001 - mean_absolute_error: 2.44631550/4840 [========>.....................] - ETA: 2s - loss: 10.4159 - mean_absolute_error: 2.44861607/4840 [========>.....................] - ETA: 2s - loss: 10.4243 - mean_absolute_error: 2.45041665/4840 [=========>....................] - ETA: 2s - loss: 10.4112 - mean_absolute_error: 2.44931722/4840 [=========>....................] - ETA: 2s - loss: 10.4098 - mean_absolute_error: 2.44901780/4840 [==========>...................] - 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ETA: 0s - loss: 10.4810 - mean_absolute_error: 2.45824217/4840 [=========================>....] - ETA: 0s - loss: 10.4827 - mean_absolute_error: 2.45824272/4840 [=========================>....] - ETA: 0s - loss: 10.4852 - mean_absolute_error: 2.45864329/4840 [=========================>....] - ETA: 0s - loss: 10.4892 - mean_absolute_error: 2.45924386/4840 [==========================>...] - ETA: 0s - loss: 10.4892 - mean_absolute_error: 2.45934443/4840 [==========================>...] - ETA: 0s - loss: 10.4974 - mean_absolute_error: 2.46014500/4840 [==========================>...] - ETA: 0s - loss: 10.5009 - mean_absolute_error: 2.46044555/4840 [===========================>..] - ETA: 0s - loss: 10.5063 - mean_absolute_error: 2.46104612/4840 [===========================>..] - ETA: 0s - loss: 10.5065 - mean_absolute_error: 2.46134669/4840 [===========================>..] - ETA: 0s - loss: 10.5098 - mean_absolute_error: 2.46184727/4840 [============================>.] - ETA: 0s - loss: 10.5128 - mean_absolute_error: 2.46214784/4840 [============================>.] - ETA: 0s - loss: 10.5111 - mean_absolute_error: 2.46184840/4840 [==============================] - 4s 929us/step - loss: 10.5027 - mean_absolute_error: 2.4610 - val_loss: 11.4937 - val_mean_absolute_error: 2.5809
Epoch 74/100
   1/4840 [..............................] - ETA: 9s - loss: 8.2965 - mean_absolute_error: 1.9314  57/4840 [..............................] - ETA: 4s - loss: 9.8326 - mean_absolute_error: 2.3779 113/4840 [..............................] - ETA: 4s - loss: 9.7734 - mean_absolute_error: 2.3609 170/4840 [>.............................] - ETA: 4s - loss: 10.0034 - mean_absolute_error: 2.3912 226/4840 [>.............................] - ETA: 4s - loss: 9.9961 - mean_absolute_error: 2.3964  283/4840 [>.............................] - ETA: 4s - loss: 10.1097 - mean_absolute_error: 2.4197 341/4840 [=>............................] - ETA: 3s - loss: 10.1821 - mean_absolute_error: 2.4254 400/4840 [=>............................] - ETA: 3s - loss: 10.1511 - mean_absolute_error: 2.4173 458/4840 [=>............................] - ETA: 3s - loss: 10.1420 - mean_absolute_error: 2.4167 513/4840 [==>...........................] - ETA: 3s - loss: 10.1874 - mean_absolute_error: 2.4222 570/4840 [==>...........................] - ETA: 3s - loss: 10.2295 - mean_absolute_error: 2.4271 620/4840 [==>...........................] - ETA: 3s - loss: 10.2422 - mean_absolute_error: 2.4282 671/4840 [===>..........................] - ETA: 3s - loss: 10.2467 - mean_absolute_error: 2.4280 726/4840 [===>..........................] - ETA: 3s - loss: 10.2806 - mean_absolute_error: 2.4308 781/4840 [===>..........................] - ETA: 3s - loss: 10.2822 - mean_absolute_error: 2.4340 838/4840 [====>.........................] - ETA: 3s - loss: 10.2669 - mean_absolute_error: 2.4309 896/4840 [====>.........................] - ETA: 3s - loss: 10.2636 - mean_absolute_error: 2.4306 953/4840 [====>.........................] - ETA: 3s - loss: 10.2727 - mean_absolute_error: 2.43201011/4840 [=====>........................] - ETA: 3s - loss: 10.2440 - mean_absolute_error: 2.42811068/4840 [=====>........................] - ETA: 3s - loss: 10.2615 - mean_absolute_error: 2.43041124/4840 [=====>........................] - ETA: 3s - loss: 10.2963 - mean_absolute_error: 2.43571180/4840 [======>.......................] - ETA: 3s - loss: 10.3376 - mean_absolute_error: 2.44031234/4840 [======>.......................] - ETA: 3s - loss: 10.3765 - mean_absolute_error: 2.44421291/4840 [=======>......................] - ETA: 3s - loss: 10.3825 - mean_absolute_error: 2.44541349/4840 [=======>......................] - ETA: 3s - loss: 10.3766 - mean_absolute_error: 2.44581406/4840 [=======>......................] - ETA: 3s - loss: 10.3871 - mean_absolute_error: 2.44631464/4840 [========>.....................] - ETA: 3s - loss: 10.3758 - mean_absolute_error: 2.44381521/4840 [========>.....................] - ETA: 2s - loss: 10.3691 - mean_absolute_error: 2.44221579/4840 [========>.....................] - ETA: 2s - loss: 10.3946 - mean_absolute_error: 2.44611635/4840 [=========>....................] - ETA: 2s - loss: 10.3925 - mean_absolute_error: 2.44601691/4840 [=========>....................] - ETA: 2s - loss: 10.4133 - mean_absolute_error: 2.44851749/4840 [=========>....................] - ETA: 2s - loss: 10.4260 - mean_absolute_error: 2.44981807/4840 [==========>...................] - ETA: 2s - loss: 10.4164 - mean_absolute_error: 2.44841864/4840 [==========>...................] - ETA: 2s - loss: 10.4078 - mean_absolute_error: 2.44711922/4840 [==========>...................] - ETA: 2s - loss: 10.3953 - mean_absolute_error: 2.44641979/4840 [===========>..................] - ETA: 2s - loss: 10.3847 - mean_absolute_error: 2.44452037/4840 [===========>..................] - ETA: 2s - loss: 10.4103 - mean_absolute_error: 2.44792095/4840 [===========>..................] - ETA: 2s - loss: 10.4041 - mean_absolute_error: 2.44742151/4840 [============>.................] - ETA: 2s - loss: 10.3830 - mean_absolute_error: 2.44532209/4840 [============>.................] - ETA: 2s - loss: 10.3817 - mean_absolute_error: 2.44522268/4840 [=============>................] - ETA: 2s - loss: 10.4059 - mean_absolute_error: 2.44852325/4840 [=============>................] - ETA: 2s - loss: 10.4110 - mean_absolute_error: 2.44912381/4840 [=============>................] - ETA: 2s - loss: 10.4104 - mean_absolute_error: 2.44902439/4840 [==============>...............] - ETA: 2s - loss: 10.4163 - mean_absolute_error: 2.44932495/4840 [==============>...............] - ETA: 2s - loss: 10.4332 - mean_absolute_error: 2.45152553/4840 [==============>...............] - ETA: 2s - loss: 10.4232 - mean_absolute_error: 2.45022610/4840 [===============>..............] - ETA: 1s - loss: 10.4237 - mean_absolute_error: 2.45022667/4840 [===============>..............] - ETA: 1s - loss: 10.4231 - mean_absolute_error: 2.44982724/4840 [===============>..............] - ETA: 1s - loss: 10.4317 - mean_absolute_error: 2.45122780/4840 [================>.............] - ETA: 1s - loss: 10.4343 - mean_absolute_error: 2.45212837/4840 [================>.............] - ETA: 1s - loss: 10.4308 - mean_absolute_error: 2.45192894/4840 [================>.............] - ETA: 1s - loss: 10.4240 - mean_absolute_error: 2.45112952/4840 [=================>............] - ETA: 1s - loss: 10.4216 - mean_absolute_error: 2.45123009/4840 [=================>............] - ETA: 1s - loss: 10.4265 - mean_absolute_error: 2.45163067/4840 [==================>...........] - ETA: 1s - loss: 10.4263 - mean_absolute_error: 2.45153125/4840 [==================>...........] - ETA: 1s - loss: 10.4387 - mean_absolute_error: 2.45323183/4840 [==================>...........] - ETA: 1s - loss: 10.4380 - mean_absolute_error: 2.45343241/4840 [===================>..........] - ETA: 1s - loss: 10.4373 - mean_absolute_error: 2.45313299/4840 [===================>..........] - ETA: 1s - loss: 10.4451 - mean_absolute_error: 2.45393356/4840 [===================>..........] - ETA: 1s - loss: 10.4605 - mean_absolute_error: 2.45583413/4840 [====================>.........] - ETA: 1s - loss: 10.4571 - mean_absolute_error: 2.45483469/4840 [====================>.........] - ETA: 1s - loss: 10.4559 - mean_absolute_error: 2.45463524/4840 [====================>.........] - ETA: 1s - loss: 10.4648 - mean_absolute_error: 2.45543581/4840 [=====================>........] - ETA: 1s - loss: 10.4590 - mean_absolute_error: 2.45493638/4840 [=====================>........] - ETA: 1s - loss: 10.4622 - mean_absolute_error: 2.45503694/4840 [=====================>........] - ETA: 1s - loss: 10.4571 - mean_absolute_error: 2.45433752/4840 [======================>.......] - ETA: 0s - loss: 10.4557 - mean_absolute_error: 2.45423809/4840 [======================>.......] - ETA: 0s - loss: 10.4608 - mean_absolute_error: 2.45473866/4840 [======================>.......] - ETA: 0s - loss: 10.4712 - mean_absolute_error: 2.45583922/4840 [=======================>......] - ETA: 0s - loss: 10.4682 - mean_absolute_error: 2.45563975/4840 [=======================>......] - ETA: 0s - loss: 10.4660 - mean_absolute_error: 2.45514027/4840 [=======================>......] - ETA: 0s - loss: 10.4777 - mean_absolute_error: 2.45634082/4840 [========================>.....] - ETA: 0s - loss: 10.4806 - mean_absolute_error: 2.45654137/4840 [========================>.....] - ETA: 0s - loss: 10.4764 - mean_absolute_error: 2.45614194/4840 [========================>.....] - ETA: 0s - loss: 10.4817 - mean_absolute_error: 2.45674249/4840 [=========================>....] - ETA: 0s - loss: 10.4801 - mean_absolute_error: 2.45684305/4840 [=========================>....] - ETA: 0s - loss: 10.4777 - mean_absolute_error: 2.45654361/4840 [==========================>...] - ETA: 0s - loss: 10.4761 - mean_absolute_error: 2.45624417/4840 [==========================>...] - ETA: 0s - loss: 10.4799 - mean_absolute_error: 2.45684475/4840 [==========================>...] - ETA: 0s - loss: 10.4756 - mean_absolute_error: 2.45644533/4840 [===========================>..] - ETA: 0s - loss: 10.4780 - mean_absolute_error: 2.45694590/4840 [===========================>..] - ETA: 0s - loss: 10.4847 - mean_absolute_error: 2.45784646/4840 [===========================>..] - ETA: 0s - loss: 10.4897 - mean_absolute_error: 2.45834699/4840 [============================>.] - ETA: 0s - loss: 10.4869 - mean_absolute_error: 2.45814755/4840 [============================>.] - ETA: 0s - loss: 10.4952 - mean_absolute_error: 2.45934812/4840 [============================>.] - ETA: 0s - loss: 10.5023 - mean_absolute_error: 2.46024840/4840 [==============================] - 5s 936us/step - loss: 10.5036 - mean_absolute_error: 2.4604 - val_loss: 11.4948 - val_mean_absolute_error: 2.5817
Epoch 75/100
   1/4840 [..............................] - ETA: 9s - loss: 11.4406 - mean_absolute_error: 2.5949  60/4840 [..............................] - ETA: 4s - loss: 10.1412 - mean_absolute_error: 2.4124 118/4840 [..............................] - ETA: 4s - loss: 10.2426 - mean_absolute_error: 2.4359 175/4840 [>.............................] - ETA: 4s - loss: 10.4737 - mean_absolute_error: 2.4587 234/4840 [>.............................] - ETA: 4s - loss: 10.4403 - mean_absolute_error: 2.4541 292/4840 [>.............................] - ETA: 3s - loss: 10.4679 - mean_absolute_error: 2.4551 350/4840 [=>............................] - ETA: 3s - loss: 10.4460 - mean_absolute_error: 2.4549 407/4840 [=>............................] - ETA: 3s - loss: 10.4570 - mean_absolute_error: 2.4524 463/4840 [=>............................] - ETA: 3s - loss: 10.5406 - mean_absolute_error: 2.4658 520/4840 [==>...........................] - ETA: 3s - loss: 10.4607 - mean_absolute_error: 2.4564 578/4840 [==>...........................] - ETA: 3s - loss: 10.4243 - mean_absolute_error: 2.4520 635/4840 [==>...........................] - ETA: 3s - loss: 10.3701 - mean_absolute_error: 2.4449 691/4840 [===>..........................] - ETA: 3s - loss: 10.3915 - mean_absolute_error: 2.4473 748/4840 [===>..........................] - ETA: 3s - loss: 10.3995 - mean_absolute_error: 2.4467 806/4840 [===>..........................] - ETA: 3s - loss: 10.3405 - mean_absolute_error: 2.4399 862/4840 [====>.........................] - ETA: 3s - loss: 10.3314 - mean_absolute_error: 2.4394 919/4840 [====>.........................] - ETA: 3s - loss: 10.3520 - mean_absolute_error: 2.4431 975/4840 [=====>........................] - ETA: 3s - loss: 10.3468 - mean_absolute_error: 2.44241031/4840 [=====>........................] - ETA: 3s - loss: 10.3366 - mean_absolute_error: 2.43941088/4840 [=====>........................] - ETA: 3s - loss: 10.3092 - mean_absolute_error: 2.43571145/4840 [======>.......................] - ETA: 3s - loss: 10.3051 - mean_absolute_error: 2.43631202/4840 [======>.......................] - ETA: 3s - loss: 10.3084 - mean_absolute_error: 2.43741259/4840 [======>.......................] - ETA: 3s - loss: 10.3179 - mean_absolute_error: 2.43771316/4840 [=======>......................] - ETA: 3s - loss: 10.3447 - mean_absolute_error: 2.44011373/4840 [=======>......................] - ETA: 3s - loss: 10.3508 - mean_absolute_error: 2.44121431/4840 [=======>......................] - ETA: 3s - loss: 10.3646 - mean_absolute_error: 2.44411488/4840 [========>.....................] - ETA: 2s - loss: 10.3884 - mean_absolute_error: 2.44661545/4840 [========>.....................] - ETA: 2s - loss: 10.4016 - mean_absolute_error: 2.44801602/4840 [========>.....................] - ETA: 2s - loss: 10.3855 - mean_absolute_error: 2.44601659/4840 [=========>....................] - ETA: 2s - loss: 10.4010 - mean_absolute_error: 2.44811717/4840 [=========>....................] - ETA: 2s - loss: 10.3788 - mean_absolute_error: 2.44621775/4840 [==========>...................] - 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mean_absolute_error: 2.45172403/4840 [=============>................] - ETA: 2s - loss: 10.4401 - mean_absolute_error: 2.45262461/4840 [==============>...............] - ETA: 2s - loss: 10.4254 - mean_absolute_error: 2.45122517/4840 [==============>...............] - ETA: 2s - loss: 10.4331 - mean_absolute_error: 2.45142574/4840 [==============>...............] - ETA: 1s - loss: 10.4332 - mean_absolute_error: 2.45162631/4840 [===============>..............] - ETA: 1s - loss: 10.4351 - mean_absolute_error: 2.45162688/4840 [===============>..............] - ETA: 1s - loss: 10.4375 - mean_absolute_error: 2.45212745/4840 [================>.............] - ETA: 1s - loss: 10.4319 - mean_absolute_error: 2.45152803/4840 [================>.............] - ETA: 1s - loss: 10.4401 - mean_absolute_error: 2.45312862/4840 [================>.............] - ETA: 1s - loss: 10.4255 - mean_absolute_error: 2.45122918/4840 [=================>............] - ETA: 1s - loss: 10.4253 - mean_absolute_error: 2.45142974/4840 [=================>............] - 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mean_absolute_error: 2.45323599/4840 [=====================>........] - ETA: 1s - loss: 10.4485 - mean_absolute_error: 2.45413657/4840 [=====================>........] - ETA: 1s - loss: 10.4441 - mean_absolute_error: 2.45403713/4840 [======================>.......] - ETA: 0s - loss: 10.4509 - mean_absolute_error: 2.45523772/4840 [======================>.......] - ETA: 0s - loss: 10.4574 - mean_absolute_error: 2.45603830/4840 [======================>.......] - ETA: 0s - loss: 10.4637 - mean_absolute_error: 2.45713887/4840 [=======================>......] - ETA: 0s - loss: 10.4692 - mean_absolute_error: 2.45793944/4840 [=======================>......] - ETA: 0s - loss: 10.4685 - mean_absolute_error: 2.45784002/4840 [=======================>......] - ETA: 0s - loss: 10.4667 - mean_absolute_error: 2.45774058/4840 [========================>.....] - ETA: 0s - loss: 10.4738 - mean_absolute_error: 2.45884115/4840 [========================>.....] - ETA: 0s - loss: 10.4787 - mean_absolute_error: 2.45934173/4840 [========================>.....] - 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mean_absolute_error: 2.46064807/4840 [============================>.] - ETA: 0s - loss: 10.4984 - mean_absolute_error: 2.46114840/4840 [==============================] - 4s 924us/step - loss: 10.5031 - mean_absolute_error: 2.4619 - val_loss: 11.4978 - val_mean_absolute_error: 2.5817
Epoch 76/100
   1/4840 [..............................] - ETA: 4s - loss: 11.1206 - mean_absolute_error: 2.7601  58/4840 [..............................] - ETA: 4s - loss: 10.1502 - mean_absolute_error: 2.4279 113/4840 [..............................] - ETA: 4s - loss: 9.9973 - mean_absolute_error: 2.3998  169/4840 [>.............................] - ETA: 4s - loss: 10.1158 - mean_absolute_error: 2.4318 226/4840 [>.............................] - ETA: 4s - loss: 10.1877 - mean_absolute_error: 2.4350 282/4840 [>.............................] - ETA: 4s - loss: 10.2377 - mean_absolute_error: 2.4376 339/4840 [=>............................] - ETA: 4s - loss: 10.2974 - mean_absolute_error: 2.4445 397/4840 [=>............................] - ETA: 3s - loss: 10.2696 - mean_absolute_error: 2.4391 455/4840 [=>............................] - ETA: 3s - loss: 10.2926 - mean_absolute_error: 2.4393 512/4840 [==>...........................] - ETA: 3s - loss: 10.2893 - mean_absolute_error: 2.4385 570/4840 [==>...........................] - 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mean_absolute_error: 2.45341185/4840 [======>.......................] - ETA: 3s - loss: 10.4562 - mean_absolute_error: 2.45861243/4840 [======>.......................] - ETA: 3s - loss: 10.4801 - mean_absolute_error: 2.46201300/4840 [=======>......................] - ETA: 3s - loss: 10.4885 - mean_absolute_error: 2.46311357/4840 [=======>......................] - ETA: 3s - loss: 10.4678 - mean_absolute_error: 2.46031414/4840 [=======>......................] - ETA: 3s - loss: 10.4719 - mean_absolute_error: 2.46021471/4840 [========>.....................] - ETA: 3s - loss: 10.4658 - mean_absolute_error: 2.46021530/4840 [========>.....................] - ETA: 2s - loss: 10.4509 - mean_absolute_error: 2.45871589/4840 [========>.....................] - ETA: 2s - loss: 10.4398 - mean_absolute_error: 2.45651646/4840 [=========>....................] - ETA: 2s - loss: 10.4414 - mean_absolute_error: 2.45661704/4840 [=========>....................] - ETA: 2s - loss: 10.4609 - mean_absolute_error: 2.45891762/4840 [=========>....................] - ETA: 2s - loss: 10.4587 - mean_absolute_error: 2.45801819/4840 [==========>...................] - ETA: 2s - loss: 10.4417 - mean_absolute_error: 2.45581876/4840 [==========>...................] - ETA: 2s - loss: 10.4558 - mean_absolute_error: 2.45771936/4840 [===========>..................] - ETA: 2s - loss: 10.4638 - mean_absolute_error: 2.45871992/4840 [===========>..................] - ETA: 2s - loss: 10.4756 - mean_absolute_error: 2.45962049/4840 [===========>..................] - ETA: 2s - loss: 10.4605 - mean_absolute_error: 2.45662108/4840 [============>.................] - ETA: 2s - loss: 10.4751 - mean_absolute_error: 2.45892166/4840 [============>.................] - ETA: 2s - loss: 10.4563 - mean_absolute_error: 2.45552225/4840 [============>.................] - ETA: 2s - loss: 10.4459 - mean_absolute_error: 2.45472285/4840 [=============>................] - ETA: 2s - loss: 10.4565 - mean_absolute_error: 2.45592343/4840 [=============>................] - ETA: 2s - loss: 10.4543 - 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ETA: 1s - loss: 10.4803 - mean_absolute_error: 2.45953034/4840 [=================>............] - ETA: 1s - loss: 10.4847 - mean_absolute_error: 2.45973091/4840 [==================>...........] - ETA: 1s - loss: 10.4897 - mean_absolute_error: 2.46073148/4840 [==================>...........] - ETA: 1s - loss: 10.4766 - mean_absolute_error: 2.45893207/4840 [==================>...........] - ETA: 1s - loss: 10.4617 - mean_absolute_error: 2.45703264/4840 [===================>..........] - ETA: 1s - loss: 10.4595 - mean_absolute_error: 2.45653323/4840 [===================>..........] - ETA: 1s - loss: 10.4505 - mean_absolute_error: 2.45513382/4840 [===================>..........] - ETA: 1s - loss: 10.4468 - mean_absolute_error: 2.45483441/4840 [====================>.........] - ETA: 1s - loss: 10.4523 - mean_absolute_error: 2.45593498/4840 [====================>.........] - ETA: 1s - loss: 10.4561 - mean_absolute_error: 2.45663556/4840 [=====================>........] - ETA: 1s - loss: 10.4643 - mean_absolute_error: 2.45713613/4840 [=====================>........] - ETA: 1s - loss: 10.4682 - mean_absolute_error: 2.45783670/4840 [=====================>........] - ETA: 1s - loss: 10.4759 - mean_absolute_error: 2.45873728/4840 [======================>.......] - ETA: 0s - loss: 10.4767 - mean_absolute_error: 2.45893786/4840 [======================>.......] - ETA: 0s - loss: 10.4765 - mean_absolute_error: 2.45933845/4840 [======================>.......] - ETA: 0s - loss: 10.4787 - mean_absolute_error: 2.45973903/4840 [=======================>......] - ETA: 0s - loss: 10.4746 - mean_absolute_error: 2.45943958/4840 [=======================>......] - ETA: 0s - loss: 10.4727 - mean_absolute_error: 2.45884016/4840 [=======================>......] - ETA: 0s - loss: 10.4811 - mean_absolute_error: 2.45954074/4840 [========================>.....] - ETA: 0s - loss: 10.4809 - mean_absolute_error: 2.45924132/4840 [========================>.....] - ETA: 0s - loss: 10.4812 - mean_absolute_error: 2.45944190/4840 [========================>.....] - ETA: 0s - loss: 10.4844 - mean_absolute_error: 2.46014248/4840 [=========================>....] - ETA: 0s - loss: 10.4854 - mean_absolute_error: 2.46034304/4840 [=========================>....] - ETA: 0s - loss: 10.4866 - mean_absolute_error: 2.46044361/4840 [==========================>...] - ETA: 0s - loss: 10.4925 - mean_absolute_error: 2.46104418/4840 [==========================>...] - ETA: 0s - loss: 10.4989 - mean_absolute_error: 2.46194475/4840 [==========================>...] - ETA: 0s - loss: 10.5001 - mean_absolute_error: 2.46194533/4840 [===========================>..] - ETA: 0s - loss: 10.5015 - mean_absolute_error: 2.46214590/4840 [===========================>..] - ETA: 0s - loss: 10.4949 - mean_absolute_error: 2.46134646/4840 [===========================>..] - ETA: 0s - loss: 10.4958 - mean_absolute_error: 2.46094702/4840 [============================>.] - ETA: 0s - loss: 10.4950 - mean_absolute_error: 2.46084760/4840 [============================>.] - ETA: 0s - loss: 10.4983 - mean_absolute_error: 2.46114817/4840 [============================>.] - ETA: 0s - loss: 10.5048 - mean_absolute_error: 2.46174840/4840 [==============================] - 5s 932us/step - loss: 10.5028 - mean_absolute_error: 2.4617 - val_loss: 11.4998 - val_mean_absolute_error: 2.5813
Epoch 77/100
   1/4840 [..............................] - ETA: 9s - loss: 13.3022 - mean_absolute_error: 2.9117  48/4840 [..............................] - ETA: 5s - loss: 10.8513 - mean_absolute_error: 2.5056  92/4840 [..............................] - ETA: 5s - loss: 10.8941 - mean_absolute_error: 2.5081 135/4840 [..............................] - ETA: 5s - loss: 10.9272 - mean_absolute_error: 2.5135 179/4840 [>.............................] - ETA: 5s - loss: 11.0063 - mean_absolute_error: 2.5160 225/4840 [>.............................] - ETA: 5s - loss: 10.7865 - mean_absolute_error: 2.4926 269/4840 [>.............................] - ETA: 5s - loss: 10.8663 - mean_absolute_error: 2.5080 314/4840 [>.............................] - ETA: 5s - loss: 10.7786 - mean_absolute_error: 2.4944 362/4840 [=>............................] - ETA: 5s - loss: 10.7550 - mean_absolute_error: 2.4911 406/4840 [=>............................] - ETA: 4s - loss: 10.6816 - mean_absolute_error: 2.4859 451/4840 [=>............................] - 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mean_absolute_error: 2.46381981/4840 [===========>..................] - ETA: 3s - loss: 10.5206 - mean_absolute_error: 2.46452037/4840 [===========>..................] - ETA: 2s - loss: 10.5229 - mean_absolute_error: 2.46512095/4840 [===========>..................] - ETA: 2s - loss: 10.5287 - mean_absolute_error: 2.46572151/4840 [============>.................] - ETA: 2s - loss: 10.5200 - mean_absolute_error: 2.46482207/4840 [============>.................] - ETA: 2s - loss: 10.5071 - mean_absolute_error: 2.46332264/4840 [=============>................] - ETA: 2s - loss: 10.5238 - mean_absolute_error: 2.46532320/4840 [=============>................] - ETA: 2s - loss: 10.5266 - mean_absolute_error: 2.46622378/4840 [=============>................] - ETA: 2s - loss: 10.5040 - mean_absolute_error: 2.46342435/4840 [==============>...............] - ETA: 2s - loss: 10.5108 - mean_absolute_error: 2.46432491/4840 [==============>...............] - ETA: 2s - loss: 10.5154 - mean_absolute_error: 2.46492548/4840 [==============>...............] - 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ETA: 1s - loss: 10.4734 - mean_absolute_error: 2.45893469/4840 [====================>.........] - ETA: 1s - loss: 10.4737 - mean_absolute_error: 2.45923523/4840 [====================>.........] - ETA: 1s - loss: 10.4793 - mean_absolute_error: 2.45963578/4840 [=====================>........] - ETA: 1s - loss: 10.4852 - mean_absolute_error: 2.46043634/4840 [=====================>........] - ETA: 1s - loss: 10.4827 - mean_absolute_error: 2.45973688/4840 [=====================>........] - ETA: 1s - loss: 10.4808 - mean_absolute_error: 2.45933740/4840 [======================>.......] - ETA: 1s - loss: 10.4800 - mean_absolute_error: 2.45913793/4840 [======================>.......] - ETA: 1s - loss: 10.4698 - mean_absolute_error: 2.45803846/4840 [======================>.......] - ETA: 1s - loss: 10.4709 - mean_absolute_error: 2.45813898/4840 [=======================>......] - ETA: 1s - loss: 10.4805 - mean_absolute_error: 2.45923949/4840 [=======================>......] - ETA: 0s - loss: 10.4789 - mean_absolute_error: 2.45853998/4840 [=======================>......] - ETA: 0s - loss: 10.4853 - mean_absolute_error: 2.45954045/4840 [========================>.....] - ETA: 0s - loss: 10.4861 - mean_absolute_error: 2.45954093/4840 [========================>.....] - ETA: 0s - loss: 10.4852 - mean_absolute_error: 2.45964145/4840 [========================>.....] - ETA: 0s - loss: 10.4878 - mean_absolute_error: 2.46004198/4840 [=========================>....] - ETA: 0s - loss: 10.4861 - mean_absolute_error: 2.46004247/4840 [=========================>....] - ETA: 0s - loss: 10.4870 - mean_absolute_error: 2.46044297/4840 [=========================>....] - ETA: 0s - loss: 10.4800 - mean_absolute_error: 2.45954348/4840 [=========================>....] - ETA: 0s - loss: 10.4901 - mean_absolute_error: 2.46104401/4840 [==========================>...] - ETA: 0s - loss: 10.4966 - mean_absolute_error: 2.46194455/4840 [==========================>...] - ETA: 0s - loss: 10.5036 - mean_absolute_error: 2.46314510/4840 [==========================>...] - ETA: 0s - loss: 10.5028 - mean_absolute_error: 2.46274566/4840 [===========================>..] - ETA: 0s - loss: 10.5017 - mean_absolute_error: 2.46294622/4840 [===========================>..] - ETA: 0s - loss: 10.5023 - mean_absolute_error: 2.46284679/4840 [============================>.] - ETA: 0s - loss: 10.5037 - mean_absolute_error: 2.46294724/4840 [============================>.] - ETA: 0s - loss: 10.5067 - mean_absolute_error: 2.46304768/4840 [============================>.] - ETA: 0s - loss: 10.5038 - mean_absolute_error: 2.46254812/4840 [============================>.] - ETA: 0s - loss: 10.5041 - mean_absolute_error: 2.46264840/4840 [==============================] - 5s 1ms/step - loss: 10.5027 - mean_absolute_error: 2.4624 - val_loss: 11.4998 - val_mean_absolute_error: 2.5804
Epoch 78/100
   1/4840 [..............................] - ETA: 9s - loss: 11.8140 - mean_absolute_error: 2.4863  58/4840 [..............................] - ETA: 4s - loss: 10.3345 - mean_absolute_error: 2.4243 115/4840 [..............................] - ETA: 4s - loss: 10.1582 - mean_absolute_error: 2.4020 173/4840 [>.............................] - ETA: 4s - loss: 10.5361 - mean_absolute_error: 2.4468 230/4840 [>.............................] - ETA: 4s - loss: 10.5148 - mean_absolute_error: 2.4481 286/4840 [>.............................] - ETA: 4s - loss: 10.5541 - mean_absolute_error: 2.4556 340/4840 [=>............................] - ETA: 4s - loss: 10.6532 - mean_absolute_error: 2.4752 397/4840 [=>............................] - ETA: 3s - loss: 10.6059 - mean_absolute_error: 2.4676 455/4840 [=>............................] - ETA: 3s - loss: 10.5167 - mean_absolute_error: 2.4559 511/4840 [==>...........................] - ETA: 3s - loss: 10.4764 - mean_absolute_error: 2.4494 567/4840 [==>...........................] - 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ETA: 1s - loss: 10.5136 - mean_absolute_error: 2.46002855/4840 [================>.............] - ETA: 1s - loss: 10.5086 - mean_absolute_error: 2.45952889/4840 [================>.............] - ETA: 1s - loss: 10.5106 - mean_absolute_error: 2.45982940/4840 [=================>............] - ETA: 1s - loss: 10.5146 - mean_absolute_error: 2.45992992/4840 [=================>............] - ETA: 1s - loss: 10.5060 - mean_absolute_error: 2.45903041/4840 [=================>............] - ETA: 1s - loss: 10.5097 - mean_absolute_error: 2.45983093/4840 [==================>...........] - ETA: 1s - loss: 10.5079 - mean_absolute_error: 2.45943148/4840 [==================>...........] - ETA: 1s - loss: 10.5071 - mean_absolute_error: 2.45933205/4840 [==================>...........] - ETA: 1s - loss: 10.5099 - mean_absolute_error: 2.46003261/4840 [===================>..........] - ETA: 1s - loss: 10.5065 - mean_absolute_error: 2.45993318/4840 [===================>..........] - ETA: 1s - loss: 10.5140 - 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ETA: 0s - loss: 10.4914 - mean_absolute_error: 2.45953943/4840 [=======================>......] - ETA: 0s - loss: 10.4956 - mean_absolute_error: 2.46013989/4840 [=======================>......] - ETA: 0s - loss: 10.4900 - mean_absolute_error: 2.45964030/4840 [=======================>......] - ETA: 0s - loss: 10.4900 - mean_absolute_error: 2.45974080/4840 [========================>.....] - ETA: 0s - loss: 10.4888 - mean_absolute_error: 2.45984129/4840 [========================>.....] - ETA: 0s - loss: 10.4969 - mean_absolute_error: 2.46104183/4840 [========================>.....] - ETA: 0s - loss: 10.4997 - mean_absolute_error: 2.46124238/4840 [=========================>....] - ETA: 0s - loss: 10.4955 - mean_absolute_error: 2.46034294/4840 [=========================>....] - ETA: 0s - loss: 10.4934 - mean_absolute_error: 2.45994348/4840 [=========================>....] - ETA: 0s - loss: 10.4895 - mean_absolute_error: 2.45954399/4840 [==========================>...] - ETA: 0s - loss: 10.4911 - mean_absolute_error: 2.45964449/4840 [==========================>...] - ETA: 0s - loss: 10.4954 - mean_absolute_error: 2.46054499/4840 [==========================>...] - ETA: 0s - loss: 10.4971 - mean_absolute_error: 2.46074547/4840 [===========================>..] - ETA: 0s - loss: 10.4973 - mean_absolute_error: 2.46084596/4840 [===========================>..] - ETA: 0s - loss: 10.4949 - mean_absolute_error: 2.46054646/4840 [===========================>..] - ETA: 0s - loss: 10.4935 - mean_absolute_error: 2.46064701/4840 [============================>.] - ETA: 0s - loss: 10.4973 - mean_absolute_error: 2.46134754/4840 [============================>.] - ETA: 0s - loss: 10.5000 - mean_absolute_error: 2.46154804/4840 [============================>.] - ETA: 0s - loss: 10.5014 - mean_absolute_error: 2.46154840/4840 [==============================] - 5s 1ms/step - loss: 10.5027 - mean_absolute_error: 2.4616 - val_loss: 11.5037 - val_mean_absolute_error: 2.5808
Epoch 79/100
   1/4840 [..............................] - ETA: 4s - loss: 7.9475 - mean_absolute_error: 2.0687  50/4840 [..............................] - ETA: 4s - loss: 10.1873 - mean_absolute_error: 2.3998 100/4840 [..............................] - ETA: 4s - loss: 10.7426 - mean_absolute_error: 2.4725 155/4840 [..............................] - ETA: 4s - loss: 10.6939 - mean_absolute_error: 2.4790 210/4840 [>.............................] - ETA: 4s - loss: 10.7052 - mean_absolute_error: 2.4852 267/4840 [>.............................] - ETA: 4s - loss: 10.6806 - mean_absolute_error: 2.4808 316/4840 [>.............................] - ETA: 4s - loss: 10.6268 - mean_absolute_error: 2.4737 372/4840 [=>............................] - ETA: 4s - loss: 10.5850 - mean_absolute_error: 2.4707 430/4840 [=>............................] - ETA: 4s - loss: 10.5716 - mean_absolute_error: 2.4706 487/4840 [==>...........................] - ETA: 4s - loss: 10.6057 - mean_absolute_error: 2.4728 544/4840 [==>...........................] - ETA: 3s - loss: 10.5617 - mean_absolute_error: 2.4675 600/4840 [==>...........................] - ETA: 3s - loss: 10.6367 - mean_absolute_error: 2.4759 657/4840 [===>..........................] - ETA: 3s - loss: 10.6698 - mean_absolute_error: 2.4795 714/4840 [===>..........................] - ETA: 3s - loss: 10.6671 - mean_absolute_error: 2.4809 771/4840 [===>..........................] - ETA: 3s - loss: 10.6073 - mean_absolute_error: 2.4737 827/4840 [====>.........................] - ETA: 3s - loss: 10.5894 - mean_absolute_error: 2.4710 873/4840 [====>.........................] - ETA: 3s - loss: 10.5628 - mean_absolute_error: 2.4679 911/4840 [====>.........................] - ETA: 3s - loss: 10.5364 - mean_absolute_error: 2.4648 959/4840 [====>.........................] - ETA: 3s - loss: 10.5773 - mean_absolute_error: 2.47131004/4840 [=====>........................] - ETA: 3s - loss: 10.5852 - mean_absolute_error: 2.47391046/4840 [=====>........................] - ETA: 3s - loss: 10.5724 - 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mean_absolute_error: 2.46184532/4840 [===========================>..] - ETA: 0s - loss: 10.5031 - mean_absolute_error: 2.46124586/4840 [===========================>..] - ETA: 0s - loss: 10.5067 - mean_absolute_error: 2.46174637/4840 [===========================>..] - ETA: 0s - loss: 10.5071 - mean_absolute_error: 2.46174687/4840 [============================>.] - ETA: 0s - loss: 10.5120 - mean_absolute_error: 2.46234737/4840 [============================>.] - ETA: 0s - loss: 10.5092 - mean_absolute_error: 2.46184786/4840 [============================>.] - ETA: 0s - loss: 10.5060 - mean_absolute_error: 2.46174836/4840 [============================>.] - ETA: 0s - loss: 10.5044 - mean_absolute_error: 2.46124840/4840 [==============================] - 5s 986us/step - loss: 10.5027 - mean_absolute_error: 2.4610 - val_loss: 11.5037 - val_mean_absolute_error: 2.5809
Epoch 80/100
   1/4840 [..............................] - ETA: 14s - loss: 9.4627 - mean_absolute_error: 2.3648  50/4840 [..............................] - ETA: 4s - loss: 10.2410 - mean_absolute_error: 2.4113 105/4840 [..............................] - ETA: 4s - loss: 10.3809 - mean_absolute_error: 2.4326 160/4840 [..............................] - ETA: 4s - loss: 10.4255 - mean_absolute_error: 2.4478 214/4840 [>.............................] - ETA: 4s - loss: 10.3395 - mean_absolute_error: 2.4397 268/4840 [>.............................] - ETA: 4s - loss: 10.2297 - mean_absolute_error: 2.4251 319/4840 [>.............................] - ETA: 4s - loss: 10.3216 - mean_absolute_error: 2.4376 375/4840 [=>............................] - ETA: 4s - loss: 10.3123 - mean_absolute_error: 2.4371 430/4840 [=>............................] - ETA: 4s - loss: 10.3401 - mean_absolute_error: 2.4415 485/4840 [==>...........................] - ETA: 4s - loss: 10.3015 - mean_absolute_error: 2.4367 534/4840 [==>...........................] - 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mean_absolute_error: 2.45684266/4840 [=========================>....] - ETA: 0s - loss: 10.4785 - mean_absolute_error: 2.45734315/4840 [=========================>....] - ETA: 0s - loss: 10.4822 - mean_absolute_error: 2.45794363/4840 [==========================>...] - ETA: 0s - loss: 10.4854 - mean_absolute_error: 2.45864412/4840 [==========================>...] - ETA: 0s - loss: 10.4923 - mean_absolute_error: 2.45944462/4840 [==========================>...] - ETA: 0s - loss: 10.4885 - mean_absolute_error: 2.45924513/4840 [==========================>...] - ETA: 0s - loss: 10.4892 - mean_absolute_error: 2.45914563/4840 [===========================>..] - ETA: 0s - loss: 10.4890 - mean_absolute_error: 2.45924609/4840 [===========================>..] - ETA: 0s - loss: 10.4938 - mean_absolute_error: 2.45974659/4840 [===========================>..] - ETA: 0s - loss: 10.4969 - mean_absolute_error: 2.46034711/4840 [============================>.] - ETA: 0s - loss: 10.5033 - mean_absolute_error: 2.46124764/4840 [============================>.] - ETA: 0s - loss: 10.5029 - mean_absolute_error: 2.46124817/4840 [============================>.] - ETA: 0s - loss: 10.5035 - mean_absolute_error: 2.46114840/4840 [==============================] - 5s 1ms/step - loss: 10.5039 - mean_absolute_error: 2.4610 - val_loss: 11.5028 - val_mean_absolute_error: 2.5808
Epoch 81/100
   1/4840 [..............................] - ETA: 9s - loss: 8.6317 - mean_absolute_error: 2.2024  58/4840 [..............................] - ETA: 4s - loss: 10.9164 - mean_absolute_error: 2.5004 115/4840 [..............................] - ETA: 4s - loss: 10.4064 - mean_absolute_error: 2.4494 171/4840 [>.............................] - ETA: 4s - loss: 10.2507 - mean_absolute_error: 2.4285 229/4840 [>.............................] - ETA: 4s - loss: 10.3094 - mean_absolute_error: 2.4439 286/4840 [>.............................] - ETA: 4s - loss: 10.1659 - mean_absolute_error: 2.4250 343/4840 [=>............................] - ETA: 3s - loss: 10.2885 - mean_absolute_error: 2.4389 402/4840 [=>............................] - ETA: 3s - loss: 10.3496 - mean_absolute_error: 2.4450 460/4840 [=>............................] - ETA: 3s - loss: 10.4391 - mean_absolute_error: 2.4556 516/4840 [==>...........................] - ETA: 3s - loss: 10.4328 - mean_absolute_error: 2.4552 574/4840 [==>...........................] - ETA: 3s - loss: 10.3607 - mean_absolute_error: 2.4454 629/4840 [==>...........................] - ETA: 3s - loss: 10.4585 - mean_absolute_error: 2.4571 683/4840 [===>..........................] - ETA: 3s - loss: 10.4480 - mean_absolute_error: 2.4551 740/4840 [===>..........................] - ETA: 3s - loss: 10.4938 - mean_absolute_error: 2.4599 797/4840 [===>..........................] - ETA: 3s - loss: 10.4564 - mean_absolute_error: 2.4574 854/4840 [====>.........................] - ETA: 3s - loss: 10.4522 - mean_absolute_error: 2.4572 911/4840 [====>.........................] - ETA: 3s - loss: 10.4520 - mean_absolute_error: 2.4553 968/4840 [=====>........................] - ETA: 3s - loss: 10.4484 - mean_absolute_error: 2.45351026/4840 [=====>........................] - ETA: 3s - loss: 10.4453 - mean_absolute_error: 2.45161081/4840 [=====>........................] - ETA: 3s - loss: 10.4284 - mean_absolute_error: 2.45031137/4840 [======>.......................] - ETA: 3s - loss: 10.4311 - mean_absolute_error: 2.45101194/4840 [======>.......................] - ETA: 3s - loss: 10.4208 - mean_absolute_error: 2.44901250/4840 [======>.......................] - ETA: 3s - loss: 10.4387 - mean_absolute_error: 2.45081308/4840 [=======>......................] - ETA: 3s - loss: 10.4340 - mean_absolute_error: 2.44991365/4840 [=======>......................] - ETA: 3s - loss: 10.4345 - mean_absolute_error: 2.45121422/4840 [=======>......................] - ETA: 3s - loss: 10.4587 - mean_absolute_error: 2.45511479/4840 [========>.....................] - ETA: 2s - loss: 10.4639 - mean_absolute_error: 2.45531536/4840 [========>.....................] - ETA: 2s - loss: 10.4648 - mean_absolute_error: 2.45671593/4840 [========>.....................] - ETA: 2s - loss: 10.4808 - mean_absolute_error: 2.45911650/4840 [=========>....................] - ETA: 2s - loss: 10.4748 - mean_absolute_error: 2.45861707/4840 [=========>....................] - ETA: 2s - loss: 10.4735 - mean_absolute_error: 2.45861765/4840 [=========>....................] - 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mean_absolute_error: 2.45612387/4840 [=============>................] - ETA: 2s - loss: 10.4452 - mean_absolute_error: 2.45402444/4840 [==============>...............] - ETA: 2s - loss: 10.4614 - mean_absolute_error: 2.45602501/4840 [==============>...............] - ETA: 2s - loss: 10.4641 - mean_absolute_error: 2.45622559/4840 [==============>...............] - ETA: 2s - loss: 10.4591 - mean_absolute_error: 2.45582616/4840 [===============>..............] - ETA: 1s - loss: 10.4647 - mean_absolute_error: 2.45652674/4840 [===============>..............] - ETA: 1s - loss: 10.4722 - mean_absolute_error: 2.45732732/4840 [===============>..............] - ETA: 1s - loss: 10.4759 - mean_absolute_error: 2.45812788/4840 [================>.............] - ETA: 1s - loss: 10.4790 - mean_absolute_error: 2.45832845/4840 [================>.............] - ETA: 1s - loss: 10.4754 - mean_absolute_error: 2.45742902/4840 [================>.............] - ETA: 1s - loss: 10.4689 - mean_absolute_error: 2.45622958/4840 [=================>............] - ETA: 1s - loss: 10.4673 - mean_absolute_error: 2.45633016/4840 [=================>............] - ETA: 1s - loss: 10.4840 - mean_absolute_error: 2.45823074/4840 [==================>...........] - ETA: 1s - loss: 10.4855 - mean_absolute_error: 2.45843131/4840 [==================>...........] - ETA: 1s - loss: 10.4752 - mean_absolute_error: 2.45663189/4840 [==================>...........] - ETA: 1s - loss: 10.4843 - mean_absolute_error: 2.45793247/4840 [===================>..........] - ETA: 1s - loss: 10.4893 - mean_absolute_error: 2.45913306/4840 [===================>..........] - ETA: 1s - loss: 10.4851 - mean_absolute_error: 2.45843361/4840 [===================>..........] - ETA: 1s - loss: 10.4772 - mean_absolute_error: 2.45753415/4840 [====================>.........] - ETA: 1s - loss: 10.4671 - mean_absolute_error: 2.45633472/4840 [====================>.........] - ETA: 1s - loss: 10.4715 - mean_absolute_error: 2.45733530/4840 [====================>.........] - ETA: 1s - loss: 10.4722 - mean_absolute_error: 2.45713587/4840 [=====================>........] - ETA: 1s - loss: 10.4875 - mean_absolute_error: 2.45883643/4840 [=====================>........] - ETA: 1s - loss: 10.4827 - mean_absolute_error: 2.45823701/4840 [=====================>........] - ETA: 1s - loss: 10.4805 - mean_absolute_error: 2.45773756/4840 [======================>.......] - ETA: 0s - loss: 10.4773 - mean_absolute_error: 2.45783813/4840 [======================>.......] - ETA: 0s - loss: 10.4867 - mean_absolute_error: 2.45933870/4840 [======================>.......] - ETA: 0s - loss: 10.4913 - mean_absolute_error: 2.45973927/4840 [=======================>......] - ETA: 0s - loss: 10.4907 - mean_absolute_error: 2.46003985/4840 [=======================>......] - ETA: 0s - loss: 10.4910 - mean_absolute_error: 2.45984042/4840 [========================>.....] - ETA: 0s - loss: 10.4938 - mean_absolute_error: 2.46004099/4840 [========================>.....] - ETA: 0s - loss: 10.4893 - mean_absolute_error: 2.45924156/4840 [========================>.....] - 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mean_absolute_error: 2.46084782/4840 [============================>.] - ETA: 0s - loss: 10.5013 - mean_absolute_error: 2.46114839/4840 [============================>.] - ETA: 0s - loss: 10.5028 - mean_absolute_error: 2.46134840/4840 [==============================] - 5s 935us/step - loss: 10.5033 - mean_absolute_error: 2.4613 - val_loss: 11.5029 - val_mean_absolute_error: 2.5805
Epoch 82/100
   1/4840 [..............................] - ETA: 9s - loss: 16.2235 - mean_absolute_error: 3.2371  58/4840 [..............................] - ETA: 4s - loss: 10.1940 - mean_absolute_error: 2.4142 116/4840 [..............................] - ETA: 4s - loss: 10.4886 - mean_absolute_error: 2.4465 173/4840 [>.............................] - ETA: 4s - loss: 10.1741 - mean_absolute_error: 2.4045 230/4840 [>.............................] - ETA: 4s - loss: 10.1698 - mean_absolute_error: 2.4063 287/4840 [>.............................] - ETA: 4s - loss: 10.1370 - mean_absolute_error: 2.4004 344/4840 [=>............................] - ETA: 3s - loss: 10.1542 - mean_absolute_error: 2.4075 402/4840 [=>............................] - ETA: 3s - loss: 10.2005 - mean_absolute_error: 2.4159 458/4840 [=>............................] - ETA: 3s - loss: 10.2392 - mean_absolute_error: 2.4234 515/4840 [==>...........................] - ETA: 3s - loss: 10.2427 - mean_absolute_error: 2.4262 570/4840 [==>...........................] - ETA: 3s - loss: 10.2064 - mean_absolute_error: 2.4237 627/4840 [==>...........................] - ETA: 3s - loss: 10.2603 - mean_absolute_error: 2.4277 683/4840 [===>..........................] - ETA: 3s - loss: 10.2965 - mean_absolute_error: 2.4335 741/4840 [===>..........................] - ETA: 3s - loss: 10.3208 - mean_absolute_error: 2.4343 799/4840 [===>..........................] - ETA: 3s - loss: 10.3174 - mean_absolute_error: 2.4329 856/4840 [====>.........................] - ETA: 3s - loss: 10.3531 - mean_absolute_error: 2.4373 914/4840 [====>.........................] - ETA: 3s - loss: 10.3756 - mean_absolute_error: 2.4417 971/4840 [=====>........................] - ETA: 3s - loss: 10.3534 - mean_absolute_error: 2.44031028/4840 [=====>........................] - ETA: 3s - loss: 10.3762 - mean_absolute_error: 2.44501085/4840 [=====>........................] - ETA: 3s - loss: 10.3746 - mean_absolute_error: 2.44431142/4840 [======>.......................] - ETA: 3s - loss: 10.3849 - 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ETA: 2s - loss: 10.4095 - mean_absolute_error: 2.44631830/4840 [==========>...................] - ETA: 2s - loss: 10.4180 - mean_absolute_error: 2.44761888/4840 [==========>...................] - ETA: 2s - loss: 10.4217 - mean_absolute_error: 2.44821944/4840 [===========>..................] - ETA: 2s - loss: 10.4070 - mean_absolute_error: 2.44592001/4840 [===========>..................] - ETA: 2s - loss: 10.3936 - mean_absolute_error: 2.44412058/4840 [===========>..................] - ETA: 2s - loss: 10.4022 - mean_absolute_error: 2.44482115/4840 [============>.................] - ETA: 2s - loss: 10.3920 - mean_absolute_error: 2.44312172/4840 [============>.................] - ETA: 2s - loss: 10.3876 - mean_absolute_error: 2.44332230/4840 [============>.................] - ETA: 2s - loss: 10.3984 - mean_absolute_error: 2.44442287/4840 [=============>................] - ETA: 2s - loss: 10.3963 - mean_absolute_error: 2.44452343/4840 [=============>................] - ETA: 2s - loss: 10.4011 - 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mean_absolute_error: 2.44863580/4840 [=====================>........] - ETA: 1s - loss: 10.4168 - mean_absolute_error: 2.44923637/4840 [=====================>........] - ETA: 1s - loss: 10.4195 - mean_absolute_error: 2.44963695/4840 [=====================>........] - ETA: 1s - loss: 10.4288 - mean_absolute_error: 2.45083752/4840 [======================>.......] - ETA: 0s - loss: 10.4234 - mean_absolute_error: 2.45043809/4840 [======================>.......] - ETA: 0s - loss: 10.4253 - mean_absolute_error: 2.45073865/4840 [======================>.......] - ETA: 0s - loss: 10.4327 - mean_absolute_error: 2.45143922/4840 [=======================>......] - ETA: 0s - loss: 10.4381 - mean_absolute_error: 2.45223978/4840 [=======================>......] - ETA: 0s - loss: 10.4553 - mean_absolute_error: 2.45454035/4840 [========================>.....] - ETA: 0s - loss: 10.4596 - mean_absolute_error: 2.45524091/4840 [========================>.....] - ETA: 0s - loss: 10.4590 - mean_absolute_error: 2.45484148/4840 [========================>.....] - ETA: 0s - loss: 10.4685 - mean_absolute_error: 2.45614205/4840 [=========================>....] - ETA: 0s - loss: 10.4689 - mean_absolute_error: 2.45584261/4840 [=========================>....] - ETA: 0s - loss: 10.4689 - mean_absolute_error: 2.45584318/4840 [=========================>....] - ETA: 0s - loss: 10.4727 - mean_absolute_error: 2.45614375/4840 [==========================>...] - ETA: 0s - loss: 10.4751 - mean_absolute_error: 2.45614432/4840 [==========================>...] - ETA: 0s - loss: 10.4760 - mean_absolute_error: 2.45674489/4840 [==========================>...] - ETA: 0s - loss: 10.4801 - mean_absolute_error: 2.45754548/4840 [===========================>..] - ETA: 0s - loss: 10.4871 - mean_absolute_error: 2.45854604/4840 [===========================>..] - ETA: 0s - loss: 10.4919 - mean_absolute_error: 2.45904661/4840 [===========================>..] - ETA: 0s - loss: 10.4976 - mean_absolute_error: 2.45964720/4840 [============================>.] - ETA: 0s - loss: 10.4967 - mean_absolute_error: 2.45944775/4840 [============================>.] - ETA: 0s - loss: 10.5005 - mean_absolute_error: 2.46014833/4840 [============================>.] - ETA: 0s - loss: 10.5025 - mean_absolute_error: 2.46054840/4840 [==============================] - 4s 929us/step - loss: 10.5033 - mean_absolute_error: 2.4606 - val_loss: 11.5017 - val_mean_absolute_error: 2.5811
Epoch 83/100
   1/4840 [..............................] - ETA: 9s - loss: 11.8841 - mean_absolute_error: 2.7476  58/4840 [..............................] - ETA: 4s - loss: 10.8155 - mean_absolute_error: 2.5525 115/4840 [..............................] - ETA: 4s - loss: 10.7411 - mean_absolute_error: 2.5182 172/4840 [>.............................] - ETA: 4s - loss: 10.8702 - mean_absolute_error: 2.5297 230/4840 [>.............................] - ETA: 4s - loss: 10.6980 - mean_absolute_error: 2.5098 287/4840 [>.............................] - ETA: 4s - loss: 10.5092 - mean_absolute_error: 2.4811 347/4840 [=>............................] - ETA: 3s - loss: 10.5491 - mean_absolute_error: 2.4798 403/4840 [=>............................] - ETA: 3s - loss: 10.4403 - mean_absolute_error: 2.4612 460/4840 [=>............................] - ETA: 3s - loss: 10.4078 - mean_absolute_error: 2.4535 517/4840 [==>...........................] - ETA: 3s - loss: 10.3956 - mean_absolute_error: 2.4493 574/4840 [==>...........................] - 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ETA: 2s - loss: 10.4055 - mean_absolute_error: 2.44871823/4840 [==========>...................] - ETA: 2s - loss: 10.4062 - mean_absolute_error: 2.44971878/4840 [==========>...................] - ETA: 2s - loss: 10.4285 - mean_absolute_error: 2.45251933/4840 [==========>...................] - ETA: 2s - loss: 10.4328 - mean_absolute_error: 2.45331990/4840 [===========>..................] - ETA: 2s - loss: 10.4517 - mean_absolute_error: 2.45502049/4840 [===========>..................] - ETA: 2s - loss: 10.4409 - mean_absolute_error: 2.45352106/4840 [============>.................] - ETA: 2s - loss: 10.4295 - mean_absolute_error: 2.45182163/4840 [============>.................] - ETA: 2s - loss: 10.4353 - mean_absolute_error: 2.45352221/4840 [============>.................] - ETA: 2s - loss: 10.4371 - mean_absolute_error: 2.45392277/4840 [=============>................] - ETA: 2s - loss: 10.4322 - mean_absolute_error: 2.45382333/4840 [=============>................] - ETA: 2s - loss: 10.4298 - 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ETA: 1s - loss: 10.4666 - mean_absolute_error: 2.45773010/4840 [=================>............] - ETA: 1s - loss: 10.4718 - mean_absolute_error: 2.45863067/4840 [==================>...........] - ETA: 1s - loss: 10.4735 - mean_absolute_error: 2.45943123/4840 [==================>...........] - ETA: 1s - loss: 10.4752 - mean_absolute_error: 2.45933177/4840 [==================>...........] - ETA: 1s - loss: 10.4804 - mean_absolute_error: 2.46013229/4840 [===================>..........] - ETA: 1s - loss: 10.5003 - mean_absolute_error: 2.46233275/4840 [===================>..........] - ETA: 1s - loss: 10.4987 - mean_absolute_error: 2.46223325/4840 [===================>..........] - ETA: 1s - loss: 10.4976 - mean_absolute_error: 2.46213377/4840 [===================>..........] - ETA: 1s - loss: 10.4992 - mean_absolute_error: 2.46213428/4840 [====================>.........] - ETA: 1s - loss: 10.5077 - mean_absolute_error: 2.46283480/4840 [====================>.........] - ETA: 1s - loss: 10.4999 - mean_absolute_error: 2.46183535/4840 [====================>.........] - ETA: 1s - loss: 10.4931 - mean_absolute_error: 2.46073591/4840 [=====================>........] - ETA: 1s - loss: 10.4864 - mean_absolute_error: 2.45983646/4840 [=====================>........] - ETA: 1s - loss: 10.4839 - mean_absolute_error: 2.45923704/4840 [=====================>........] - ETA: 1s - loss: 10.4823 - mean_absolute_error: 2.45933761/4840 [======================>.......] - ETA: 0s - loss: 10.4822 - mean_absolute_error: 2.45913818/4840 [======================>.......] - ETA: 0s - loss: 10.4904 - mean_absolute_error: 2.46013876/4840 [=======================>......] - ETA: 0s - loss: 10.4834 - mean_absolute_error: 2.45913933/4840 [=======================>......] - ETA: 0s - loss: 10.4833 - mean_absolute_error: 2.45873991/4840 [=======================>......] - ETA: 0s - loss: 10.4851 - mean_absolute_error: 2.45894048/4840 [========================>.....] - ETA: 0s - loss: 10.4859 - mean_absolute_error: 2.45924105/4840 [========================>.....] - ETA: 0s - loss: 10.4933 - mean_absolute_error: 2.46054163/4840 [========================>.....] - ETA: 0s - loss: 10.5021 - mean_absolute_error: 2.46134220/4840 [=========================>....] - ETA: 0s - loss: 10.5065 - mean_absolute_error: 2.46184278/4840 [=========================>....] - ETA: 0s - loss: 10.5008 - mean_absolute_error: 2.46094337/4840 [=========================>....] - ETA: 0s - loss: 10.5091 - mean_absolute_error: 2.46204393/4840 [==========================>...] - ETA: 0s - loss: 10.5120 - mean_absolute_error: 2.46234451/4840 [==========================>...] - ETA: 0s - loss: 10.5116 - mean_absolute_error: 2.46224506/4840 [==========================>...] - ETA: 0s - loss: 10.5082 - mean_absolute_error: 2.46194564/4840 [===========================>..] - ETA: 0s - loss: 10.5059 - mean_absolute_error: 2.46164621/4840 [===========================>..] - ETA: 0s - loss: 10.5051 - mean_absolute_error: 2.46184678/4840 [===========================>..] - ETA: 0s - loss: 10.5050 - mean_absolute_error: 2.46154735/4840 [============================>.] - ETA: 0s - loss: 10.5058 - mean_absolute_error: 2.46174791/4840 [============================>.] - ETA: 0s - loss: 10.5030 - mean_absolute_error: 2.46134840/4840 [==============================] - 5s 935us/step - loss: 10.5026 - mean_absolute_error: 2.4610 - val_loss: 11.5010 - val_mean_absolute_error: 2.5818
Epoch 84/100
   1/4840 [..............................] - ETA: 9s - loss: 11.6404 - mean_absolute_error: 2.8331  58/4840 [..............................] - ETA: 4s - loss: 10.1488 - mean_absolute_error: 2.4162 115/4840 [..............................] - ETA: 4s - loss: 10.3215 - mean_absolute_error: 2.4349 171/4840 [>.............................] - ETA: 4s - loss: 10.3393 - mean_absolute_error: 2.4425 228/4840 [>.............................] - ETA: 4s - loss: 10.3149 - mean_absolute_error: 2.4425 286/4840 [>.............................] - ETA: 4s - loss: 10.3182 - mean_absolute_error: 2.4483 342/4840 [=>............................] - ETA: 3s - loss: 10.3167 - mean_absolute_error: 2.4458 400/4840 [=>............................] - ETA: 3s - loss: 10.3735 - mean_absolute_error: 2.4552 456/4840 [=>............................] - ETA: 3s - loss: 10.3808 - mean_absolute_error: 2.4532 513/4840 [==>...........................] - ETA: 3s - loss: 10.4549 - mean_absolute_error: 2.4632 571/4840 [==>...........................] - ETA: 3s - loss: 10.4387 - mean_absolute_error: 2.4606 627/4840 [==>...........................] - ETA: 3s - loss: 10.4326 - mean_absolute_error: 2.4567 683/4840 [===>..........................] - ETA: 3s - loss: 10.4445 - mean_absolute_error: 2.4584 740/4840 [===>..........................] - ETA: 3s - loss: 10.4842 - mean_absolute_error: 2.4644 798/4840 [===>..........................] - ETA: 3s - loss: 10.4594 - mean_absolute_error: 2.4602 855/4840 [====>.........................] - ETA: 3s - loss: 10.4445 - mean_absolute_error: 2.4587 913/4840 [====>.........................] - ETA: 3s - loss: 10.4297 - mean_absolute_error: 2.4557 970/4840 [=====>........................] - ETA: 3s - loss: 10.4223 - mean_absolute_error: 2.45521028/4840 [=====>........................] - ETA: 3s - loss: 10.4443 - mean_absolute_error: 2.45721083/4840 [=====>........................] - ETA: 3s - loss: 10.4487 - mean_absolute_error: 2.45811140/4840 [======>.......................] - ETA: 3s - loss: 10.4400 - 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ETA: 2s - loss: 10.4771 - mean_absolute_error: 2.45951828/4840 [==========>...................] - ETA: 2s - loss: 10.4873 - mean_absolute_error: 2.46041886/4840 [==========>...................] - ETA: 2s - loss: 10.4880 - mean_absolute_error: 2.46011943/4840 [===========>..................] - ETA: 2s - loss: 10.4825 - mean_absolute_error: 2.45932003/4840 [===========>..................] - ETA: 2s - loss: 10.4827 - mean_absolute_error: 2.45872061/4840 [===========>..................] - ETA: 2s - loss: 10.4809 - mean_absolute_error: 2.45822119/4840 [============>.................] - ETA: 2s - loss: 10.4722 - mean_absolute_error: 2.45722177/4840 [============>.................] - ETA: 2s - loss: 10.4713 - mean_absolute_error: 2.45712235/4840 [============>.................] - ETA: 2s - loss: 10.4613 - mean_absolute_error: 2.45572294/4840 [=============>................] - ETA: 2s - loss: 10.4668 - mean_absolute_error: 2.45582351/4840 [=============>................] - ETA: 2s - loss: 10.4640 - 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mean_absolute_error: 2.46114822/4840 [============================>.] - ETA: 0s - loss: 10.5045 - mean_absolute_error: 2.46154840/4840 [==============================] - 4s 923us/step - loss: 10.5029 - mean_absolute_error: 2.4612 - val_loss: 11.5025 - val_mean_absolute_error: 2.5820
Epoch 85/100
   1/4840 [..............................] - ETA: 9s - loss: 8.9185 - mean_absolute_error: 2.2300  58/4840 [..............................] - ETA: 4s - loss: 10.0204 - mean_absolute_error: 2.3744 115/4840 [..............................] - ETA: 4s - loss: 10.3509 - mean_absolute_error: 2.4196 174/4840 [>.............................] - ETA: 4s - loss: 10.5339 - mean_absolute_error: 2.4533 230/4840 [>.............................] - ETA: 4s - loss: 10.4196 - mean_absolute_error: 2.4432 284/4840 [>.............................] - ETA: 4s - loss: 10.5472 - mean_absolute_error: 2.4600 340/4840 [=>............................] - ETA: 3s - loss: 10.5460 - mean_absolute_error: 2.4639 397/4840 [=>............................] - ETA: 3s - loss: 10.5012 - mean_absolute_error: 2.4572 454/4840 [=>............................] - ETA: 3s - loss: 10.4818 - mean_absolute_error: 2.4544 511/4840 [==>...........................] - ETA: 3s - loss: 10.4011 - mean_absolute_error: 2.4488 569/4840 [==>...........................] - 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mean_absolute_error: 2.45712402/4840 [=============>................] - ETA: 2s - loss: 10.4570 - mean_absolute_error: 2.45612460/4840 [==============>...............] - ETA: 2s - loss: 10.4680 - mean_absolute_error: 2.45722516/4840 [==============>...............] - ETA: 2s - loss: 10.4743 - mean_absolute_error: 2.45752574/4840 [==============>...............] - ETA: 1s - loss: 10.4785 - mean_absolute_error: 2.45802631/4840 [===============>..............] - ETA: 1s - loss: 10.4686 - mean_absolute_error: 2.45692688/4840 [===============>..............] - ETA: 1s - loss: 10.4599 - mean_absolute_error: 2.45612744/4840 [================>.............] - ETA: 1s - loss: 10.4719 - mean_absolute_error: 2.45802800/4840 [================>.............] - ETA: 1s - loss: 10.4722 - mean_absolute_error: 2.45832857/4840 [================>.............] - ETA: 1s - loss: 10.4786 - mean_absolute_error: 2.45922914/4840 [=================>............] - ETA: 1s - loss: 10.4847 - mean_absolute_error: 2.45992970/4840 [=================>............] - 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mean_absolute_error: 2.46513592/4840 [=====================>........] - ETA: 1s - loss: 10.5225 - mean_absolute_error: 2.46533648/4840 [=====================>........] - ETA: 1s - loss: 10.5282 - mean_absolute_error: 2.46643706/4840 [=====================>........] - ETA: 1s - loss: 10.5266 - mean_absolute_error: 2.46653764/4840 [======================>.......] - ETA: 0s - loss: 10.5234 - mean_absolute_error: 2.46593822/4840 [======================>.......] - ETA: 0s - loss: 10.5184 - mean_absolute_error: 2.46503879/4840 [=======================>......] - ETA: 0s - loss: 10.5183 - mean_absolute_error: 2.46493936/4840 [=======================>......] - ETA: 0s - loss: 10.5149 - mean_absolute_error: 2.46433993/4840 [=======================>......] - ETA: 0s - loss: 10.5138 - mean_absolute_error: 2.46404050/4840 [========================>.....] - ETA: 0s - loss: 10.5151 - mean_absolute_error: 2.46434107/4840 [========================>.....] - ETA: 0s - loss: 10.5082 - mean_absolute_error: 2.46334164/4840 [========================>.....] - ETA: 0s - loss: 10.5101 - mean_absolute_error: 2.46344221/4840 [=========================>....] - ETA: 0s - loss: 10.5074 - mean_absolute_error: 2.46304276/4840 [=========================>....] - ETA: 0s - loss: 10.5026 - mean_absolute_error: 2.46234333/4840 [=========================>....] - ETA: 0s - loss: 10.5008 - mean_absolute_error: 2.46224391/4840 [==========================>...] - ETA: 0s - loss: 10.4989 - mean_absolute_error: 2.46174446/4840 [==========================>...] - ETA: 0s - loss: 10.5032 - mean_absolute_error: 2.46214503/4840 [==========================>...] - ETA: 0s - loss: 10.5079 - mean_absolute_error: 2.46264560/4840 [===========================>..] - ETA: 0s - loss: 10.5089 - mean_absolute_error: 2.46264617/4840 [===========================>..] - ETA: 0s - loss: 10.5094 - mean_absolute_error: 2.46264675/4840 [===========================>..] - ETA: 0s - loss: 10.5014 - mean_absolute_error: 2.46184732/4840 [============================>.] - ETA: 0s - loss: 10.5037 - mean_absolute_error: 2.46224789/4840 [============================>.] - ETA: 0s - loss: 10.5048 - mean_absolute_error: 2.46224840/4840 [==============================] - 4s 926us/step - loss: 10.5030 - mean_absolute_error: 2.4620 - val_loss: 11.5025 - val_mean_absolute_error: 2.5819
Epoch 86/100
   1/4840 [..............................] - ETA: 9s - loss: 8.8247 - mean_absolute_error: 2.0963  58/4840 [..............................] - ETA: 4s - loss: 10.5107 - mean_absolute_error: 2.4492 115/4840 [..............................] - ETA: 4s - loss: 10.4724 - mean_absolute_error: 2.4524 171/4840 [>.............................] - ETA: 4s - loss: 10.4157 - mean_absolute_error: 2.4495 230/4840 [>.............................] - ETA: 4s - loss: 10.6059 - mean_absolute_error: 2.4735 288/4840 [>.............................] - ETA: 3s - loss: 10.5420 - mean_absolute_error: 2.4656 345/4840 [=>............................] - ETA: 3s - loss: 10.5006 - mean_absolute_error: 2.4594 403/4840 [=>............................] - ETA: 3s - loss: 10.5694 - mean_absolute_error: 2.4718 461/4840 [=>............................] - ETA: 3s - loss: 10.6112 - mean_absolute_error: 2.4795 517/4840 [==>...........................] - ETA: 3s - loss: 10.6272 - mean_absolute_error: 2.4796 574/4840 [==>...........................] - ETA: 3s - loss: 10.6018 - mean_absolute_error: 2.4751 631/4840 [==>...........................] - ETA: 3s - loss: 10.5609 - mean_absolute_error: 2.4706 688/4840 [===>..........................] - ETA: 3s - loss: 10.5916 - mean_absolute_error: 2.4767 746/4840 [===>..........................] - ETA: 3s - loss: 10.5513 - mean_absolute_error: 2.4719 804/4840 [===>..........................] - ETA: 3s - loss: 10.5197 - mean_absolute_error: 2.4677 860/4840 [====>.........................] - ETA: 3s - loss: 10.5347 - mean_absolute_error: 2.4695 917/4840 [====>.........................] - ETA: 3s - loss: 10.5797 - mean_absolute_error: 2.4751 975/4840 [=====>........................] - ETA: 3s - loss: 10.5636 - mean_absolute_error: 2.47391032/4840 [=====>........................] - ETA: 3s - loss: 10.5540 - mean_absolute_error: 2.47191089/4840 [=====>........................] - ETA: 3s - loss: 10.5376 - mean_absolute_error: 2.46981148/4840 [======>.......................] - ETA: 3s - loss: 10.5451 - mean_absolute_error: 2.47021206/4840 [======>.......................] - ETA: 3s - loss: 10.5357 - mean_absolute_error: 2.46931263/4840 [======>.......................] - ETA: 3s - loss: 10.5209 - mean_absolute_error: 2.46571320/4840 [=======>......................] - ETA: 3s - loss: 10.5174 - mean_absolute_error: 2.46481378/4840 [=======>......................] - ETA: 3s - loss: 10.5072 - mean_absolute_error: 2.46331436/4840 [=======>......................] - ETA: 2s - loss: 10.4807 - mean_absolute_error: 2.45871495/4840 [========>.....................] - ETA: 2s - loss: 10.4890 - mean_absolute_error: 2.46061552/4840 [========>.....................] - ETA: 2s - loss: 10.4899 - mean_absolute_error: 2.46051610/4840 [========>.....................] - ETA: 2s - loss: 10.4814 - mean_absolute_error: 2.45941666/4840 [=========>....................] - ETA: 2s - loss: 10.4907 - mean_absolute_error: 2.45951724/4840 [=========>....................] - ETA: 2s - loss: 10.4841 - mean_absolute_error: 2.45981782/4840 [==========>...................] - ETA: 2s - loss: 10.4737 - mean_absolute_error: 2.45791840/4840 [==========>...................] - ETA: 2s - loss: 10.4596 - mean_absolute_error: 2.45591898/4840 [==========>...................] - ETA: 2s - loss: 10.4670 - mean_absolute_error: 2.45751955/4840 [===========>..................] - ETA: 2s - loss: 10.4667 - mean_absolute_error: 2.45762012/4840 [===========>..................] - ETA: 2s - loss: 10.4711 - mean_absolute_error: 2.45832069/4840 [===========>..................] - ETA: 2s - loss: 10.4830 - mean_absolute_error: 2.45972127/4840 [============>.................] - ETA: 2s - loss: 10.4795 - mean_absolute_error: 2.45932185/4840 [============>.................] - ETA: 2s - loss: 10.4812 - mean_absolute_error: 2.45922244/4840 [============>.................] - ETA: 2s - loss: 10.4816 - mean_absolute_error: 2.45882302/4840 [=============>................] - ETA: 2s - loss: 10.4859 - mean_absolute_error: 2.45962360/4840 [=============>................] - ETA: 2s - loss: 10.4728 - mean_absolute_error: 2.45842418/4840 [=============>................] - ETA: 2s - loss: 10.4468 - mean_absolute_error: 2.45462476/4840 [==============>...............] - ETA: 2s - loss: 10.4386 - mean_absolute_error: 2.45332534/4840 [==============>...............] - ETA: 2s - loss: 10.4296 - mean_absolute_error: 2.45192592/4840 [===============>..............] - ETA: 1s - loss: 10.4359 - mean_absolute_error: 2.45252649/4840 [===============>..............] - ETA: 1s - loss: 10.4523 - mean_absolute_error: 2.45472706/4840 [===============>..............] - ETA: 1s - loss: 10.4647 - mean_absolute_error: 2.45582760/4840 [================>.............] - ETA: 1s - loss: 10.4763 - mean_absolute_error: 2.45722817/4840 [================>.............] - ETA: 1s - loss: 10.4695 - mean_absolute_error: 2.45662874/4840 [================>.............] - ETA: 1s - loss: 10.4669 - mean_absolute_error: 2.45642932/4840 [=================>............] - ETA: 1s - loss: 10.4696 - mean_absolute_error: 2.45612989/4840 [=================>............] - ETA: 1s - loss: 10.4692 - mean_absolute_error: 2.45573047/4840 [=================>............] - ETA: 1s - loss: 10.4564 - mean_absolute_error: 2.45423105/4840 [==================>...........] - ETA: 1s - loss: 10.4652 - mean_absolute_error: 2.45513162/4840 [==================>...........] - ETA: 1s - loss: 10.4756 - mean_absolute_error: 2.45683220/4840 [==================>...........] - ETA: 1s - loss: 10.4788 - mean_absolute_error: 2.45773278/4840 [===================>..........] - ETA: 1s - loss: 10.4776 - mean_absolute_error: 2.45773335/4840 [===================>..........] - ETA: 1s - loss: 10.4893 - mean_absolute_error: 2.45933392/4840 [====================>.........] - ETA: 1s - loss: 10.4934 - mean_absolute_error: 2.45993450/4840 [====================>.........] - ETA: 1s - loss: 10.4935 - mean_absolute_error: 2.45963507/4840 [====================>.........] - ETA: 1s - loss: 10.4891 - mean_absolute_error: 2.45883562/4840 [=====================>........] - ETA: 1s - loss: 10.4888 - mean_absolute_error: 2.45903620/4840 [=====================>........] - ETA: 1s - loss: 10.4855 - mean_absolute_error: 2.45803678/4840 [=====================>........] - ETA: 1s - loss: 10.4896 - mean_absolute_error: 2.45813736/4840 [======================>.......] - ETA: 0s - loss: 10.4918 - mean_absolute_error: 2.45813794/4840 [======================>.......] - ETA: 0s - loss: 10.4986 - mean_absolute_error: 2.45953852/4840 [======================>.......] - ETA: 0s - loss: 10.4975 - mean_absolute_error: 2.45963909/4840 [=======================>......] - ETA: 0s - loss: 10.5001 - mean_absolute_error: 2.46003967/4840 [=======================>......] - ETA: 0s - loss: 10.4968 - mean_absolute_error: 2.45984024/4840 [=======================>......] - ETA: 0s - loss: 10.4960 - mean_absolute_error: 2.45984082/4840 [========================>.....] - ETA: 0s - loss: 10.5002 - mean_absolute_error: 2.46044141/4840 [========================>.....] - ETA: 0s - loss: 10.4974 - mean_absolute_error: 2.46024199/4840 [=========================>....] - ETA: 0s - loss: 10.4954 - mean_absolute_error: 2.45994257/4840 [=========================>....] - ETA: 0s - loss: 10.4942 - mean_absolute_error: 2.45974315/4840 [=========================>....] - ETA: 0s - loss: 10.4982 - mean_absolute_error: 2.46034371/4840 [==========================>...] - ETA: 0s - loss: 10.5016 - mean_absolute_error: 2.46104429/4840 [==========================>...] - ETA: 0s - loss: 10.5003 - mean_absolute_error: 2.46104487/4840 [==========================>...] - ETA: 0s - loss: 10.5083 - mean_absolute_error: 2.46184545/4840 [===========================>..] - ETA: 0s - loss: 10.5003 - mean_absolute_error: 2.46094603/4840 [===========================>..] - ETA: 0s - loss: 10.5020 - mean_absolute_error: 2.46094660/4840 [===========================>..] - ETA: 0s - loss: 10.5023 - mean_absolute_error: 2.46084716/4840 [============================>.] - ETA: 0s - loss: 10.5022 - mean_absolute_error: 2.46114773/4840 [============================>.] - ETA: 0s - loss: 10.5055 - mean_absolute_error: 2.46164833/4840 [============================>.] - ETA: 0s - loss: 10.5024 - mean_absolute_error: 2.46114840/4840 [==============================] - 4s 920us/step - loss: 10.5026 - mean_absolute_error: 2.4610 - val_loss: 11.4996 - val_mean_absolute_error: 2.5811
Epoch 87/100
   1/4840 [..............................] - ETA: 7s - loss: 10.2082 - mean_absolute_error: 2.6029  57/4840 [..............................] - ETA: 4s - loss: 10.2761 - mean_absolute_error: 2.4490 113/4840 [..............................] - ETA: 4s - loss: 10.5234 - mean_absolute_error: 2.4696 166/4840 [>.............................] - ETA: 4s - loss: 10.5276 - mean_absolute_error: 2.4746 216/4840 [>.............................] - ETA: 4s - loss: 10.5706 - mean_absolute_error: 2.4791 258/4840 [>.............................] - ETA: 4s - loss: 10.5104 - mean_absolute_error: 2.4680 302/4840 [>.............................] - ETA: 4s - loss: 10.6363 - mean_absolute_error: 2.4793 345/4840 [=>............................] - ETA: 4s - loss: 10.6087 - mean_absolute_error: 2.4770 395/4840 [=>............................] - ETA: 4s - loss: 10.4822 - mean_absolute_error: 2.4613 450/4840 [=>............................] - ETA: 4s - loss: 10.5261 - mean_absolute_error: 2.4657 506/4840 [==>...........................] - ETA: 4s - loss: 10.5782 - mean_absolute_error: 2.4720 562/4840 [==>...........................] - ETA: 4s - loss: 10.5932 - mean_absolute_error: 2.4743 619/4840 [==>...........................] - ETA: 4s - loss: 10.5841 - mean_absolute_error: 2.4717 677/4840 [===>..........................] - ETA: 4s - loss: 10.5570 - mean_absolute_error: 2.4677 735/4840 [===>..........................] - ETA: 3s - loss: 10.5647 - mean_absolute_error: 2.4698 792/4840 [===>..........................] - ETA: 3s - loss: 10.5435 - mean_absolute_error: 2.4655 850/4840 [====>.........................] - ETA: 3s - loss: 10.5452 - mean_absolute_error: 2.4672 908/4840 [====>.........................] - ETA: 3s - loss: 10.5310 - mean_absolute_error: 2.4668 965/4840 [====>.........................] - ETA: 3s - loss: 10.5089 - mean_absolute_error: 2.46331021/4840 [=====>........................] - ETA: 3s - loss: 10.5029 - mean_absolute_error: 2.46271078/4840 [=====>........................] - ETA: 3s - loss: 10.5320 - mean_absolute_error: 2.46581135/4840 [======>.......................] - ETA: 3s - loss: 10.5150 - mean_absolute_error: 2.46411191/4840 [======>.......................] - ETA: 3s - loss: 10.4676 - mean_absolute_error: 2.45821248/4840 [======>.......................] - ETA: 3s - loss: 10.4847 - mean_absolute_error: 2.46091305/4840 [=======>......................] - ETA: 3s - loss: 10.4714 - mean_absolute_error: 2.45911363/4840 [=======>......................] - ETA: 3s - loss: 10.4886 - mean_absolute_error: 2.46121420/4840 [=======>......................] - ETA: 3s - loss: 10.4871 - mean_absolute_error: 2.46071477/4840 [========>.....................] - ETA: 3s - loss: 10.4841 - mean_absolute_error: 2.45911532/4840 [========>.....................] - ETA: 3s - loss: 10.4867 - mean_absolute_error: 2.45841590/4840 [========>.....................] - ETA: 2s - loss: 10.4776 - mean_absolute_error: 2.45651648/4840 [=========>....................] - ETA: 2s - loss: 10.5044 - mean_absolute_error: 2.45951705/4840 [=========>....................] - ETA: 2s - loss: 10.5040 - mean_absolute_error: 2.46001762/4840 [=========>....................] - ETA: 2s - loss: 10.4963 - mean_absolute_error: 2.45871819/4840 [==========>...................] - ETA: 2s - loss: 10.4888 - mean_absolute_error: 2.45861877/4840 [==========>...................] - ETA: 2s - loss: 10.4830 - mean_absolute_error: 2.45791933/4840 [==========>...................] - ETA: 2s - loss: 10.4898 - mean_absolute_error: 2.45841991/4840 [===========>..................] - ETA: 2s - loss: 10.4777 - mean_absolute_error: 2.45672051/4840 [===========>..................] - ETA: 2s - loss: 10.4767 - mean_absolute_error: 2.45672109/4840 [============>.................] - ETA: 2s - loss: 10.4788 - mean_absolute_error: 2.45622165/4840 [============>.................] - ETA: 2s - loss: 10.4754 - mean_absolute_error: 2.45592223/4840 [============>.................] - ETA: 2s - loss: 10.4648 - mean_absolute_error: 2.45502280/4840 [=============>................] - ETA: 2s - loss: 10.4667 - 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mean_absolute_error: 2.45683532/4840 [====================>.........] - ETA: 1s - loss: 10.4823 - mean_absolute_error: 2.45773590/4840 [=====================>........] - ETA: 1s - loss: 10.4777 - mean_absolute_error: 2.45733648/4840 [=====================>........] - ETA: 1s - loss: 10.4709 - mean_absolute_error: 2.45633706/4840 [=====================>........] - ETA: 1s - loss: 10.4791 - mean_absolute_error: 2.45703764/4840 [======================>.......] - ETA: 0s - loss: 10.4733 - mean_absolute_error: 2.45623820/4840 [======================>.......] - ETA: 0s - loss: 10.4653 - mean_absolute_error: 2.45543878/4840 [=======================>......] - ETA: 0s - loss: 10.4767 - mean_absolute_error: 2.45723936/4840 [=======================>......] - ETA: 0s - loss: 10.4794 - mean_absolute_error: 2.45743993/4840 [=======================>......] - ETA: 0s - loss: 10.4778 - mean_absolute_error: 2.45754050/4840 [========================>.....] - ETA: 0s - loss: 10.4831 - mean_absolute_error: 2.45844107/4840 [========================>.....] - ETA: 0s - loss: 10.4881 - mean_absolute_error: 2.45914164/4840 [========================>.....] - ETA: 0s - loss: 10.4901 - mean_absolute_error: 2.45974222/4840 [=========================>....] - ETA: 0s - loss: 10.4895 - mean_absolute_error: 2.45944281/4840 [=========================>....] - ETA: 0s - loss: 10.4794 - mean_absolute_error: 2.45834338/4840 [=========================>....] - ETA: 0s - loss: 10.4856 - mean_absolute_error: 2.45914395/4840 [==========================>...] - ETA: 0s - loss: 10.4839 - mean_absolute_error: 2.45924451/4840 [==========================>...] - ETA: 0s - loss: 10.4851 - mean_absolute_error: 2.45914508/4840 [==========================>...] - ETA: 0s - loss: 10.4863 - mean_absolute_error: 2.45934565/4840 [===========================>..] - ETA: 0s - loss: 10.4889 - mean_absolute_error: 2.46004622/4840 [===========================>..] - ETA: 0s - loss: 10.4916 - mean_absolute_error: 2.46004679/4840 [============================>.] - ETA: 0s - loss: 10.4921 - mean_absolute_error: 2.45984736/4840 [============================>.] - ETA: 0s - loss: 10.4971 - mean_absolute_error: 2.46024792/4840 [============================>.] - ETA: 0s - loss: 10.4997 - mean_absolute_error: 2.46054840/4840 [==============================] - 5s 938us/step - loss: 10.5031 - mean_absolute_error: 2.4610 - val_loss: 11.4980 - val_mean_absolute_error: 2.5808
Epoch 88/100
   1/4840 [..............................] - ETA: 9s - loss: 11.5616 - mean_absolute_error: 2.6029  58/4840 [..............................] - ETA: 4s - loss: 11.0971 - mean_absolute_error: 2.5313 114/4840 [..............................] - ETA: 4s - loss: 10.9993 - mean_absolute_error: 2.5227 170/4840 [>.............................] - ETA: 4s - loss: 10.9138 - mean_absolute_error: 2.5099 226/4840 [>.............................] - ETA: 4s - loss: 10.7888 - mean_absolute_error: 2.4945 284/4840 [>.............................] - ETA: 4s - loss: 10.6438 - mean_absolute_error: 2.4705 341/4840 [=>............................] - ETA: 3s - loss: 10.5776 - mean_absolute_error: 2.4684 399/4840 [=>............................] - ETA: 3s - loss: 10.4681 - mean_absolute_error: 2.4561 456/4840 [=>............................] - ETA: 3s - loss: 10.4243 - mean_absolute_error: 2.4501 512/4840 [==>...........................] - ETA: 3s - loss: 10.4745 - mean_absolute_error: 2.4571 569/4840 [==>...........................] - 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ETA: 2s - loss: 10.5038 - mean_absolute_error: 2.46191823/4840 [==========>...................] - ETA: 2s - loss: 10.5154 - mean_absolute_error: 2.46351880/4840 [==========>...................] - ETA: 2s - loss: 10.5224 - mean_absolute_error: 2.46471938/4840 [===========>..................] - ETA: 2s - loss: 10.5167 - mean_absolute_error: 2.46381996/4840 [===========>..................] - ETA: 2s - loss: 10.5009 - mean_absolute_error: 2.46222054/4840 [===========>..................] - ETA: 2s - loss: 10.5130 - mean_absolute_error: 2.46342111/4840 [============>.................] - ETA: 2s - loss: 10.5070 - mean_absolute_error: 2.46252168/4840 [============>.................] - ETA: 2s - loss: 10.5095 - mean_absolute_error: 2.46382225/4840 [============>.................] - ETA: 2s - loss: 10.5295 - mean_absolute_error: 2.46672282/4840 [=============>................] - ETA: 2s - loss: 10.5256 - mean_absolute_error: 2.46632339/4840 [=============>................] - ETA: 2s - loss: 10.5141 - 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ETA: 1s - loss: 10.4854 - mean_absolute_error: 2.46193028/4840 [=================>............] - ETA: 1s - loss: 10.4837 - mean_absolute_error: 2.46143086/4840 [==================>...........] - ETA: 1s - loss: 10.4741 - mean_absolute_error: 2.45993143/4840 [==================>...........] - ETA: 1s - loss: 10.4845 - mean_absolute_error: 2.46063201/4840 [==================>...........] - ETA: 1s - loss: 10.4874 - mean_absolute_error: 2.46073258/4840 [===================>..........] - ETA: 1s - loss: 10.4863 - mean_absolute_error: 2.46033315/4840 [===================>..........] - ETA: 1s - loss: 10.4888 - mean_absolute_error: 2.46123373/4840 [===================>..........] - ETA: 1s - loss: 10.4914 - mean_absolute_error: 2.46193430/4840 [====================>.........] - ETA: 1s - loss: 10.4877 - mean_absolute_error: 2.46113488/4840 [====================>.........] - ETA: 1s - loss: 10.4840 - mean_absolute_error: 2.46053544/4840 [====================>.........] - ETA: 1s - loss: 10.4745 - mean_absolute_error: 2.45923600/4840 [=====================>........] - ETA: 1s - loss: 10.4767 - mean_absolute_error: 2.45973658/4840 [=====================>........] - ETA: 1s - loss: 10.4865 - mean_absolute_error: 2.46143715/4840 [======================>.......] - ETA: 0s - loss: 10.4919 - mean_absolute_error: 2.46163773/4840 [======================>.......] - ETA: 0s - loss: 10.4949 - mean_absolute_error: 2.46203832/4840 [======================>.......] - ETA: 0s - loss: 10.4933 - mean_absolute_error: 2.46203888/4840 [=======================>......] - ETA: 0s - loss: 10.4908 - mean_absolute_error: 2.46193944/4840 [=======================>......] - ETA: 0s - loss: 10.4956 - mean_absolute_error: 2.46254002/4840 [=======================>......] - ETA: 0s - loss: 10.4930 - mean_absolute_error: 2.46224059/4840 [========================>.....] - ETA: 0s - loss: 10.4881 - mean_absolute_error: 2.46104117/4840 [========================>.....] - ETA: 0s - loss: 10.4839 - mean_absolute_error: 2.46054173/4840 [========================>.....] - 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mean_absolute_error: 2.46014801/4840 [============================>.] - ETA: 0s - loss: 10.4951 - mean_absolute_error: 2.46064840/4840 [==============================] - 4s 926us/step - loss: 10.5032 - mean_absolute_error: 2.4620 - val_loss: 11.4983 - val_mean_absolute_error: 2.5797
Epoch 89/100
   1/4840 [..............................] - ETA: 9s - loss: 8.6678 - mean_absolute_error: 2.1356  58/4840 [..............................] - ETA: 4s - loss: 10.4954 - mean_absolute_error: 2.4705 114/4840 [..............................] - ETA: 4s - loss: 10.5789 - mean_absolute_error: 2.4883 171/4840 [>.............................] - ETA: 4s - loss: 10.3993 - mean_absolute_error: 2.4606 226/4840 [>.............................] - ETA: 4s - loss: 10.4522 - mean_absolute_error: 2.4626 281/4840 [>.............................] - ETA: 4s - loss: 10.3808 - mean_absolute_error: 2.4519 337/4840 [=>............................] - ETA: 4s - loss: 10.4338 - mean_absolute_error: 2.4513 393/4840 [=>............................] - ETA: 3s - loss: 10.3512 - mean_absolute_error: 2.4439 450/4840 [=>............................] - ETA: 3s - loss: 10.3171 - mean_absolute_error: 2.4368 508/4840 [==>...........................] - ETA: 3s - loss: 10.3431 - mean_absolute_error: 2.4356 565/4840 [==>...........................] - ETA: 3s - loss: 10.3589 - mean_absolute_error: 2.4376 623/4840 [==>...........................] - ETA: 3s - loss: 10.3396 - mean_absolute_error: 2.4351 680/4840 [===>..........................] - ETA: 3s - loss: 10.3639 - mean_absolute_error: 2.4412 737/4840 [===>..........................] - ETA: 3s - loss: 10.3595 - mean_absolute_error: 2.4401 793/4840 [===>..........................] - ETA: 3s - loss: 10.4118 - mean_absolute_error: 2.4475 852/4840 [====>.........................] - ETA: 3s - loss: 10.3930 - mean_absolute_error: 2.4477 909/4840 [====>.........................] - ETA: 3s - loss: 10.3973 - mean_absolute_error: 2.4492 966/4840 [====>.........................] - ETA: 3s - loss: 10.4223 - mean_absolute_error: 2.45331023/4840 [=====>........................] - ETA: 3s - loss: 10.4417 - mean_absolute_error: 2.45561078/4840 [=====>........................] - ETA: 3s - loss: 10.4515 - mean_absolute_error: 2.45641134/4840 [======>.......................] - ETA: 3s - loss: 10.4350 - 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mean_absolute_error: 2.46094787/4840 [============================>.] - ETA: 0s - loss: 10.5072 - mean_absolute_error: 2.46114840/4840 [==============================] - 4s 926us/step - loss: 10.5029 - mean_absolute_error: 2.4605 - val_loss: 11.4992 - val_mean_absolute_error: 2.5807
Epoch 90/100
   1/4840 [..............................] - ETA: 9s - loss: 7.7600 - mean_absolute_error: 2.2410  58/4840 [..............................] - ETA: 4s - loss: 10.3258 - mean_absolute_error: 2.4226 116/4840 [..............................] - ETA: 4s - loss: 10.4341 - mean_absolute_error: 2.4405 174/4840 [>.............................] - ETA: 4s - loss: 10.3876 - mean_absolute_error: 2.4438 231/4840 [>.............................] - ETA: 4s - loss: 10.2963 - mean_absolute_error: 2.4308 289/4840 [>.............................] - ETA: 3s - loss: 10.3920 - mean_absolute_error: 2.4507 346/4840 [=>............................] - ETA: 3s - loss: 10.3925 - mean_absolute_error: 2.4514 403/4840 [=>............................] - ETA: 3s - loss: 10.4133 - mean_absolute_error: 2.4562 462/4840 [=>............................] - ETA: 3s - loss: 10.4434 - mean_absolute_error: 2.4574 517/4840 [==>...........................] - ETA: 3s - loss: 10.4599 - mean_absolute_error: 2.4575 573/4840 [==>...........................] - 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mean_absolute_error: 2.45012409/4840 [=============>................] - ETA: 2s - loss: 10.4080 - mean_absolute_error: 2.45032468/4840 [==============>...............] - ETA: 2s - loss: 10.4072 - mean_absolute_error: 2.44992527/4840 [==============>...............] - ETA: 2s - loss: 10.4022 - mean_absolute_error: 2.44952584/4840 [===============>..............] - ETA: 1s - loss: 10.4116 - mean_absolute_error: 2.45102642/4840 [===============>..............] - ETA: 1s - loss: 10.4145 - mean_absolute_error: 2.45022700/4840 [===============>..............] - ETA: 1s - loss: 10.4237 - mean_absolute_error: 2.45112757/4840 [================>.............] - ETA: 1s - loss: 10.4266 - mean_absolute_error: 2.45132813/4840 [================>.............] - ETA: 1s - loss: 10.4190 - mean_absolute_error: 2.44952870/4840 [================>.............] - ETA: 1s - loss: 10.4237 - mean_absolute_error: 2.45012928/4840 [=================>............] - ETA: 1s - loss: 10.4263 - mean_absolute_error: 2.45022986/4840 [=================>............] - 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ETA: 0s - loss: 10.4730 - mean_absolute_error: 2.45554240/4840 [=========================>....] - ETA: 0s - loss: 10.4769 - mean_absolute_error: 2.45594297/4840 [=========================>....] - ETA: 0s - loss: 10.4724 - mean_absolute_error: 2.45564356/4840 [==========================>...] - ETA: 0s - loss: 10.4731 - mean_absolute_error: 2.45574414/4840 [==========================>...] - ETA: 0s - loss: 10.4741 - mean_absolute_error: 2.45584467/4840 [==========================>...] - ETA: 0s - loss: 10.4770 - mean_absolute_error: 2.45614523/4840 [===========================>..] - ETA: 0s - loss: 10.4865 - mean_absolute_error: 2.45724580/4840 [===========================>..] - ETA: 0s - loss: 10.4891 - mean_absolute_error: 2.45814636/4840 [===========================>..] - ETA: 0s - loss: 10.4954 - mean_absolute_error: 2.45904693/4840 [============================>.] - ETA: 0s - loss: 10.4982 - mean_absolute_error: 2.45914750/4840 [============================>.] - ETA: 0s - loss: 10.5075 - mean_absolute_error: 2.46074806/4840 [============================>.] - ETA: 0s - loss: 10.5056 - mean_absolute_error: 2.46024840/4840 [==============================] - 4s 925us/step - loss: 10.5034 - mean_absolute_error: 2.4600 - val_loss: 11.4972 - val_mean_absolute_error: 2.5815
Epoch 91/100
   1/4840 [..............................] - ETA: 4s - loss: 5.8046 - mean_absolute_error: 1.8114  59/4840 [..............................] - ETA: 4s - loss: 10.0607 - mean_absolute_error: 2.4305 116/4840 [..............................] - ETA: 4s - loss: 10.2914 - mean_absolute_error: 2.4539 173/4840 [>.............................] - ETA: 4s - loss: 10.1435 - mean_absolute_error: 2.4293 230/4840 [>.............................] - ETA: 4s - loss: 10.2782 - mean_absolute_error: 2.4461 287/4840 [>.............................] - ETA: 4s - loss: 10.3197 - mean_absolute_error: 2.4459 344/4840 [=>............................] - ETA: 3s - loss: 10.2236 - mean_absolute_error: 2.4341 401/4840 [=>............................] - ETA: 3s - loss: 10.3399 - mean_absolute_error: 2.4418 457/4840 [=>............................] - ETA: 3s - loss: 10.2916 - mean_absolute_error: 2.4369 514/4840 [==>...........................] - ETA: 3s - loss: 10.3252 - mean_absolute_error: 2.4443 571/4840 [==>...........................] - ETA: 3s - loss: 10.3753 - mean_absolute_error: 2.4502 628/4840 [==>...........................] - ETA: 3s - loss: 10.3782 - mean_absolute_error: 2.4519 684/4840 [===>..........................] - ETA: 3s - loss: 10.4098 - mean_absolute_error: 2.4546 740/4840 [===>..........................] - ETA: 3s - loss: 10.4762 - mean_absolute_error: 2.4591 796/4840 [===>..........................] - ETA: 3s - loss: 10.5042 - mean_absolute_error: 2.4658 854/4840 [====>.........................] - ETA: 3s - loss: 10.5270 - mean_absolute_error: 2.4676 911/4840 [====>.........................] - ETA: 3s - loss: 10.4851 - mean_absolute_error: 2.4617 969/4840 [=====>........................] - ETA: 3s - loss: 10.4669 - mean_absolute_error: 2.45901028/4840 [=====>........................] - ETA: 3s - loss: 10.4875 - mean_absolute_error: 2.46271086/4840 [=====>........................] - ETA: 3s - loss: 10.4998 - mean_absolute_error: 2.46351140/4840 [======>.......................] - ETA: 3s - loss: 10.5246 - mean_absolute_error: 2.46691197/4840 [======>.......................] - ETA: 3s - loss: 10.5185 - mean_absolute_error: 2.46371253/4840 [======>.......................] - ETA: 3s - loss: 10.5151 - mean_absolute_error: 2.46321309/4840 [=======>......................] - ETA: 3s - loss: 10.5162 - mean_absolute_error: 2.46351365/4840 [=======>......................] - ETA: 3s - loss: 10.5375 - mean_absolute_error: 2.46831423/4840 [=======>......................] - ETA: 3s - loss: 10.5513 - mean_absolute_error: 2.46961480/4840 [========>.....................] - ETA: 2s - loss: 10.5358 - mean_absolute_error: 2.46851538/4840 [========>.....................] - ETA: 2s - loss: 10.5381 - mean_absolute_error: 2.46851595/4840 [========>.....................] - ETA: 2s - loss: 10.5354 - mean_absolute_error: 2.46781653/4840 [=========>....................] - ETA: 2s - loss: 10.5259 - mean_absolute_error: 2.46671709/4840 [=========>....................] - ETA: 2s - loss: 10.5383 - mean_absolute_error: 2.46731766/4840 [=========>....................] - ETA: 2s - loss: 10.5183 - mean_absolute_error: 2.46391822/4840 [==========>...................] - ETA: 2s - loss: 10.5324 - mean_absolute_error: 2.46541878/4840 [==========>...................] - ETA: 2s - loss: 10.5474 - mean_absolute_error: 2.46741935/4840 [==========>...................] - ETA: 2s - loss: 10.5535 - mean_absolute_error: 2.46891993/4840 [===========>..................] - ETA: 2s - loss: 10.5577 - mean_absolute_error: 2.46912051/4840 [===========>..................] - ETA: 2s - loss: 10.5614 - mean_absolute_error: 2.46952109/4840 [============>.................] - ETA: 2s - loss: 10.5603 - mean_absolute_error: 2.47002166/4840 [============>.................] - ETA: 2s - loss: 10.5662 - mean_absolute_error: 2.47022222/4840 [============>.................] - ETA: 2s - loss: 10.5784 - mean_absolute_error: 2.47172278/4840 [=============>................] - ETA: 2s - loss: 10.5874 - mean_absolute_error: 2.47292336/4840 [=============>................] - ETA: 2s - loss: 10.5718 - mean_absolute_error: 2.47112392/4840 [=============>................] - ETA: 2s - loss: 10.5744 - mean_absolute_error: 2.47152449/4840 [==============>...............] - ETA: 2s - loss: 10.5714 - mean_absolute_error: 2.47112506/4840 [==============>...............] - ETA: 2s - loss: 10.5636 - mean_absolute_error: 2.47002563/4840 [==============>...............] - ETA: 2s - loss: 10.5393 - mean_absolute_error: 2.46672620/4840 [===============>..............] - ETA: 1s - loss: 10.5337 - mean_absolute_error: 2.46562678/4840 [===============>..............] - ETA: 1s - loss: 10.5237 - mean_absolute_error: 2.46462735/4840 [===============>..............] - ETA: 1s - loss: 10.5270 - mean_absolute_error: 2.46522793/4840 [================>.............] - ETA: 1s - loss: 10.5208 - mean_absolute_error: 2.46422849/4840 [================>.............] - ETA: 1s - loss: 10.5122 - mean_absolute_error: 2.46302907/4840 [=================>............] - ETA: 1s - loss: 10.5086 - mean_absolute_error: 2.46262965/4840 [=================>............] - ETA: 1s - loss: 10.5047 - mean_absolute_error: 2.46183021/4840 [=================>............] - ETA: 1s - loss: 10.5098 - mean_absolute_error: 2.46303078/4840 [==================>...........] - ETA: 1s - loss: 10.5059 - mean_absolute_error: 2.46203136/4840 [==================>...........] - ETA: 1s - loss: 10.5046 - mean_absolute_error: 2.46163193/4840 [==================>...........] - ETA: 1s - loss: 10.4986 - mean_absolute_error: 2.46113250/4840 [===================>..........] - ETA: 1s - loss: 10.4959 - mean_absolute_error: 2.46073308/4840 [===================>..........] - ETA: 1s - loss: 10.4940 - mean_absolute_error: 2.46053364/4840 [===================>..........] - ETA: 1s - loss: 10.5049 - mean_absolute_error: 2.46163419/4840 [====================>.........] - ETA: 1s - loss: 10.5077 - mean_absolute_error: 2.46193476/4840 [====================>.........] - ETA: 1s - loss: 10.5073 - mean_absolute_error: 2.46213532/4840 [====================>.........] - ETA: 1s - loss: 10.5007 - mean_absolute_error: 2.46163589/4840 [=====================>........] - ETA: 1s - loss: 10.5062 - mean_absolute_error: 2.46223645/4840 [=====================>........] - ETA: 1s - loss: 10.5038 - mean_absolute_error: 2.46183703/4840 [=====================>........] - ETA: 1s - loss: 10.5058 - mean_absolute_error: 2.46203760/4840 [======================>.......] - ETA: 0s - loss: 10.5107 - mean_absolute_error: 2.46293817/4840 [======================>.......] - ETA: 0s - loss: 10.5050 - mean_absolute_error: 2.46173875/4840 [=======================>......] - ETA: 0s - loss: 10.5031 - mean_absolute_error: 2.46163934/4840 [=======================>......] - ETA: 0s - loss: 10.5012 - mean_absolute_error: 2.46143992/4840 [=======================>......] - ETA: 0s - loss: 10.5002 - mean_absolute_error: 2.46134050/4840 [========================>.....] - ETA: 0s - loss: 10.4982 - mean_absolute_error: 2.46104107/4840 [========================>.....] - ETA: 0s - loss: 10.4897 - mean_absolute_error: 2.46014163/4840 [========================>.....] - ETA: 0s - loss: 10.4881 - mean_absolute_error: 2.46034221/4840 [=========================>....] - ETA: 0s - loss: 10.4858 - mean_absolute_error: 2.46014277/4840 [=========================>....] - ETA: 0s - loss: 10.4917 - mean_absolute_error: 2.46104335/4840 [=========================>....] - ETA: 0s - loss: 10.4853 - mean_absolute_error: 2.45964393/4840 [==========================>...] - ETA: 0s - loss: 10.4882 - mean_absolute_error: 2.46034452/4840 [==========================>...] - ETA: 0s - loss: 10.4903 - mean_absolute_error: 2.46034509/4840 [==========================>...] - ETA: 0s - loss: 10.4908 - mean_absolute_error: 2.46044565/4840 [===========================>..] - ETA: 0s - loss: 10.4927 - mean_absolute_error: 2.46094622/4840 [===========================>..] - ETA: 0s - loss: 10.4955 - mean_absolute_error: 2.46104678/4840 [===========================>..] - ETA: 0s - loss: 10.4973 - mean_absolute_error: 2.46134735/4840 [============================>.] - ETA: 0s - loss: 10.5002 - mean_absolute_error: 2.46154792/4840 [============================>.] - ETA: 0s - loss: 10.5005 - mean_absolute_error: 2.46164840/4840 [==============================] - 4s 925us/step - loss: 10.5022 - mean_absolute_error: 2.4619 - val_loss: 11.4964 - val_mean_absolute_error: 2.5811
Epoch 92/100
   1/4840 [..............................] - ETA: 9s - loss: 10.7092 - mean_absolute_error: 2.5173  60/4840 [..............................] - ETA: 4s - loss: 10.7855 - mean_absolute_error: 2.4603 118/4840 [..............................] - ETA: 4s - loss: 10.5089 - mean_absolute_error: 2.4457 174/4840 [>.............................] - ETA: 4s - loss: 10.4121 - mean_absolute_error: 2.4339 229/4840 [>.............................] - ETA: 4s - loss: 10.4238 - mean_absolute_error: 2.4389 287/4840 [>.............................] - ETA: 3s - loss: 10.4585 - mean_absolute_error: 2.4418 344/4840 [=>............................] - ETA: 3s - loss: 10.3698 - mean_absolute_error: 2.4362 401/4840 [=>............................] - ETA: 3s - loss: 10.2721 - mean_absolute_error: 2.4250 458/4840 [=>............................] - ETA: 3s - loss: 10.2934 - mean_absolute_error: 2.4270 516/4840 [==>...........................] - ETA: 3s - loss: 10.3262 - mean_absolute_error: 2.4325 572/4840 [==>...........................] - ETA: 3s - loss: 10.3672 - mean_absolute_error: 2.4407 630/4840 [==>...........................] - ETA: 3s - loss: 10.3684 - mean_absolute_error: 2.4426 689/4840 [===>..........................] - ETA: 3s - loss: 10.3626 - mean_absolute_error: 2.4416 746/4840 [===>..........................] - ETA: 3s - loss: 10.3817 - mean_absolute_error: 2.4427 804/4840 [===>..........................] - ETA: 3s - loss: 10.3940 - mean_absolute_error: 2.4456 862/4840 [====>.........................] - ETA: 3s - loss: 10.3734 - mean_absolute_error: 2.4426 921/4840 [====>.........................] - ETA: 3s - loss: 10.4067 - mean_absolute_error: 2.4456 979/4840 [=====>........................] - ETA: 3s - loss: 10.4202 - mean_absolute_error: 2.44921036/4840 [=====>........................] - ETA: 3s - loss: 10.4070 - mean_absolute_error: 2.44811095/4840 [=====>........................] - ETA: 3s - loss: 10.4174 - mean_absolute_error: 2.44961155/4840 [======>.......................] - ETA: 3s - loss: 10.4440 - 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ETA: 2s - loss: 10.4028 - mean_absolute_error: 2.44861760/4840 [=========>....................] - ETA: 2s - loss: 10.3895 - mean_absolute_error: 2.44721815/4840 [==========>...................] - ETA: 2s - loss: 10.3812 - mean_absolute_error: 2.44701871/4840 [==========>...................] - ETA: 2s - loss: 10.3730 - mean_absolute_error: 2.44571927/4840 [==========>...................] - ETA: 2s - loss: 10.3650 - mean_absolute_error: 2.44421983/4840 [===========>..................] - ETA: 2s - loss: 10.3830 - mean_absolute_error: 2.44602041/4840 [===========>..................] - ETA: 2s - loss: 10.3866 - mean_absolute_error: 2.44592099/4840 [============>.................] - ETA: 2s - loss: 10.3841 - mean_absolute_error: 2.44552157/4840 [============>.................] - ETA: 2s - loss: 10.3833 - mean_absolute_error: 2.44552214/4840 [============>.................] - ETA: 2s - loss: 10.3716 - mean_absolute_error: 2.44362271/4840 [=============>................] - ETA: 2s - loss: 10.3732 - 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mean_absolute_error: 2.45693534/4840 [====================>.........] - ETA: 1s - loss: 10.4710 - mean_absolute_error: 2.45733590/4840 [=====================>........] - ETA: 1s - loss: 10.4684 - mean_absolute_error: 2.45733647/4840 [=====================>........] - ETA: 1s - loss: 10.4670 - mean_absolute_error: 2.45743705/4840 [=====================>........] - ETA: 1s - loss: 10.4726 - mean_absolute_error: 2.45763762/4840 [======================>.......] - ETA: 0s - loss: 10.4769 - mean_absolute_error: 2.45813819/4840 [======================>.......] - ETA: 0s - loss: 10.4772 - mean_absolute_error: 2.45793877/4840 [=======================>......] - ETA: 0s - loss: 10.4736 - mean_absolute_error: 2.45763932/4840 [=======================>......] - ETA: 0s - loss: 10.4746 - mean_absolute_error: 2.45783990/4840 [=======================>......] - ETA: 0s - loss: 10.4816 - mean_absolute_error: 2.45874046/4840 [========================>.....] - ETA: 0s - loss: 10.4813 - mean_absolute_error: 2.45834100/4840 [========================>.....] - ETA: 0s - loss: 10.4795 - mean_absolute_error: 2.45824157/4840 [========================>.....] - ETA: 0s - loss: 10.4804 - mean_absolute_error: 2.45844193/4840 [========================>.....] - ETA: 0s - loss: 10.4885 - mean_absolute_error: 2.45954227/4840 [=========================>....] - ETA: 0s - loss: 10.4840 - mean_absolute_error: 2.45884263/4840 [=========================>....] - ETA: 0s - loss: 10.4897 - mean_absolute_error: 2.45984307/4840 [=========================>....] - ETA: 0s - loss: 10.4920 - mean_absolute_error: 2.45974355/4840 [=========================>....] - ETA: 0s - loss: 10.4991 - mean_absolute_error: 2.46084404/4840 [==========================>...] - ETA: 0s - loss: 10.4987 - mean_absolute_error: 2.46054455/4840 [==========================>...] - ETA: 0s - loss: 10.5014 - mean_absolute_error: 2.46104506/4840 [==========================>...] - ETA: 0s - loss: 10.4991 - mean_absolute_error: 2.46084554/4840 [===========================>..] - ETA: 0s - loss: 10.4969 - mean_absolute_error: 2.46064605/4840 [===========================>..] - ETA: 0s - loss: 10.4928 - mean_absolute_error: 2.46004657/4840 [===========================>..] - ETA: 0s - loss: 10.4952 - mean_absolute_error: 2.46034710/4840 [============================>.] - ETA: 0s - loss: 10.4987 - mean_absolute_error: 2.46044762/4840 [============================>.] - ETA: 0s - loss: 10.5015 - mean_absolute_error: 2.46074814/4840 [============================>.] - ETA: 0s - loss: 10.5051 - mean_absolute_error: 2.46124840/4840 [==============================] - 5s 970us/step - loss: 10.5034 - mean_absolute_error: 2.4610 - val_loss: 11.4967 - val_mean_absolute_error: 2.5809
Epoch 93/100
   1/4840 [..............................] - ETA: 4s - loss: 10.6037 - mean_absolute_error: 2.5412  52/4840 [..............................] - ETA: 4s - loss: 11.3905 - mean_absolute_error: 2.5710 103/4840 [..............................] - ETA: 4s - loss: 10.9191 - mean_absolute_error: 2.5159 154/4840 [..............................] - ETA: 4s - loss: 10.7000 - mean_absolute_error: 2.4856 206/4840 [>.............................] - ETA: 4s - loss: 10.5567 - mean_absolute_error: 2.4703 258/4840 [>.............................] - ETA: 4s - loss: 10.4893 - mean_absolute_error: 2.4627 310/4840 [>.............................] - ETA: 4s - loss: 10.4533 - mean_absolute_error: 2.4613 365/4840 [=>............................] - ETA: 4s - loss: 10.3581 - mean_absolute_error: 2.4497 417/4840 [=>............................] - ETA: 4s - loss: 10.4344 - mean_absolute_error: 2.4562 472/4840 [=>............................] - ETA: 4s - loss: 10.3353 - mean_absolute_error: 2.4414 526/4840 [==>...........................] - 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ETA: 2s - loss: 10.3805 - mean_absolute_error: 2.44381722/4840 [=========>....................] - ETA: 2s - loss: 10.3896 - mean_absolute_error: 2.44471773/4840 [=========>....................] - ETA: 2s - loss: 10.3844 - mean_absolute_error: 2.44371826/4840 [==========>...................] - ETA: 2s - loss: 10.3746 - mean_absolute_error: 2.44191881/4840 [==========>...................] - ETA: 2s - loss: 10.3817 - mean_absolute_error: 2.44331933/4840 [==========>...................] - ETA: 2s - loss: 10.3911 - mean_absolute_error: 2.44461988/4840 [===========>..................] - ETA: 2s - loss: 10.3955 - mean_absolute_error: 2.44502042/4840 [===========>..................] - ETA: 2s - loss: 10.4060 - mean_absolute_error: 2.44612097/4840 [===========>..................] - ETA: 2s - loss: 10.3978 - mean_absolute_error: 2.44572153/4840 [============>.................] - ETA: 2s - loss: 10.3980 - mean_absolute_error: 2.44522208/4840 [============>.................] - ETA: 2s - loss: 10.4033 - mean_absolute_error: 2.44672265/4840 [=============>................] - ETA: 2s - loss: 10.4150 - mean_absolute_error: 2.44732321/4840 [=============>................] - ETA: 2s - loss: 10.4117 - mean_absolute_error: 2.44762378/4840 [=============>................] - ETA: 2s - loss: 10.4120 - mean_absolute_error: 2.44782434/4840 [==============>...............] - ETA: 2s - loss: 10.4188 - mean_absolute_error: 2.44902488/4840 [==============>...............] - ETA: 2s - loss: 10.4150 - mean_absolute_error: 2.44902540/4840 [==============>...............] - ETA: 2s - loss: 10.4204 - mean_absolute_error: 2.44942595/4840 [===============>..............] - ETA: 2s - loss: 10.4229 - mean_absolute_error: 2.44992648/4840 [===============>..............] - ETA: 2s - loss: 10.4159 - mean_absolute_error: 2.44902702/4840 [===============>..............] - ETA: 1s - loss: 10.4329 - mean_absolute_error: 2.45132756/4840 [================>.............] - ETA: 1s - loss: 10.4272 - mean_absolute_error: 2.45072807/4840 [================>.............] - ETA: 1s - loss: 10.4265 - mean_absolute_error: 2.45062860/4840 [================>.............] - ETA: 1s - loss: 10.4196 - mean_absolute_error: 2.44972915/4840 [=================>............] - ETA: 1s - loss: 10.4171 - mean_absolute_error: 2.44972956/4840 [=================>............] - ETA: 1s - loss: 10.4215 - mean_absolute_error: 2.45023000/4840 [=================>............] - ETA: 1s - loss: 10.4157 - mean_absolute_error: 2.44963049/4840 [=================>............] - ETA: 1s - loss: 10.4183 - mean_absolute_error: 2.45013098/4840 [==================>...........] - ETA: 1s - loss: 10.4223 - mean_absolute_error: 2.45043146/4840 [==================>...........] - ETA: 1s - loss: 10.4153 - mean_absolute_error: 2.44963196/4840 [==================>...........] - ETA: 1s - loss: 10.4157 - mean_absolute_error: 2.44943244/4840 [===================>..........] - ETA: 1s - loss: 10.4222 - mean_absolute_error: 2.45023292/4840 [===================>..........] - ETA: 1s - loss: 10.4365 - mean_absolute_error: 2.45233333/4840 [===================>..........] - ETA: 1s - loss: 10.4372 - mean_absolute_error: 2.45233376/4840 [===================>..........] - ETA: 1s - loss: 10.4562 - mean_absolute_error: 2.45473423/4840 [====================>.........] - ETA: 1s - loss: 10.4596 - mean_absolute_error: 2.45523470/4840 [====================>.........] - ETA: 1s - loss: 10.4576 - mean_absolute_error: 2.45543518/4840 [====================>.........] - ETA: 1s - loss: 10.4530 - mean_absolute_error: 2.45503566/4840 [=====================>........] - ETA: 1s - loss: 10.4647 - mean_absolute_error: 2.45663612/4840 [=====================>........] - ETA: 1s - loss: 10.4716 - mean_absolute_error: 2.45723663/4840 [=====================>........] - ETA: 1s - loss: 10.4841 - mean_absolute_error: 2.45893717/4840 [======================>.......] - ETA: 1s - loss: 10.4937 - mean_absolute_error: 2.46013770/4840 [======================>.......] - ETA: 1s - loss: 10.4995 - mean_absolute_error: 2.46123825/4840 [======================>.......] - ETA: 0s - loss: 10.4941 - mean_absolute_error: 2.46073880/4840 [=======================>......] - ETA: 0s - loss: 10.4914 - mean_absolute_error: 2.45983934/4840 [=======================>......] - ETA: 0s - loss: 10.4905 - mean_absolute_error: 2.45973987/4840 [=======================>......] - ETA: 0s - loss: 10.4876 - mean_absolute_error: 2.45934042/4840 [========================>.....] - ETA: 0s - loss: 10.4923 - mean_absolute_error: 2.46024099/4840 [========================>.....] - ETA: 0s - loss: 10.4887 - mean_absolute_error: 2.45964155/4840 [========================>.....] - ETA: 0s - loss: 10.4875 - mean_absolute_error: 2.45934211/4840 [=========================>....] - ETA: 0s - loss: 10.4821 - mean_absolute_error: 2.45854266/4840 [=========================>....] - ETA: 0s - loss: 10.4833 - mean_absolute_error: 2.45884321/4840 [=========================>....] - ETA: 0s - loss: 10.4756 - mean_absolute_error: 2.45764378/4840 [==========================>...] - ETA: 0s - loss: 10.4852 - mean_absolute_error: 2.45904434/4840 [==========================>...] - ETA: 0s - loss: 10.4853 - mean_absolute_error: 2.45914491/4840 [==========================>...] - ETA: 0s - loss: 10.4846 - mean_absolute_error: 2.45934547/4840 [===========================>..] - ETA: 0s - loss: 10.4946 - mean_absolute_error: 2.46054603/4840 [===========================>..] - ETA: 0s - loss: 10.4944 - mean_absolute_error: 2.46034658/4840 [===========================>..] - ETA: 0s - loss: 10.5039 - mean_absolute_error: 2.46164713/4840 [============================>.] - ETA: 0s - loss: 10.5094 - mean_absolute_error: 2.46224769/4840 [============================>.] - ETA: 0s - loss: 10.5081 - mean_absolute_error: 2.46184826/4840 [============================>.] - ETA: 0s - loss: 10.5014 - mean_absolute_error: 2.46084840/4840 [==============================] - 5s 996us/step - loss: 10.5031 - mean_absolute_error: 2.4610 - val_loss: 11.4956 - val_mean_absolute_error: 2.5806
Epoch 94/100
   1/4840 [..............................] - ETA: 4s - loss: 8.3066 - mean_absolute_error: 2.2380  57/4840 [..............................] - ETA: 4s - loss: 10.6509 - mean_absolute_error: 2.4900 112/4840 [..............................] - ETA: 4s - loss: 10.5493 - mean_absolute_error: 2.4701 167/4840 [>.............................] - ETA: 4s - loss: 10.6007 - mean_absolute_error: 2.4819 223/4840 [>.............................] - ETA: 4s - loss: 10.6227 - mean_absolute_error: 2.4832 280/4840 [>.............................] - ETA: 4s - loss: 10.6321 - mean_absolute_error: 2.4821 338/4840 [=>............................] - ETA: 4s - loss: 10.6237 - mean_absolute_error: 2.4770 394/4840 [=>............................] - ETA: 3s - loss: 10.5365 - mean_absolute_error: 2.4650 450/4840 [=>............................] - ETA: 3s - loss: 10.5935 - mean_absolute_error: 2.4726 507/4840 [==>...........................] - ETA: 3s - loss: 10.6073 - mean_absolute_error: 2.4751 563/4840 [==>...........................] - 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mean_absolute_error: 2.46333482/4840 [====================>.........] - ETA: 1s - loss: 10.5160 - mean_absolute_error: 2.46273537/4840 [====================>.........] - ETA: 1s - loss: 10.5214 - mean_absolute_error: 2.46343593/4840 [=====================>........] - ETA: 1s - loss: 10.5200 - mean_absolute_error: 2.46373650/4840 [=====================>........] - ETA: 1s - loss: 10.5215 - mean_absolute_error: 2.46363707/4840 [=====================>........] - ETA: 1s - loss: 10.5149 - mean_absolute_error: 2.46263763/4840 [======================>.......] - ETA: 0s - loss: 10.5118 - mean_absolute_error: 2.46233818/4840 [======================>.......] - ETA: 0s - loss: 10.5132 - mean_absolute_error: 2.46243874/4840 [=======================>......] - ETA: 0s - loss: 10.5155 - mean_absolute_error: 2.46283930/4840 [=======================>......] - ETA: 0s - loss: 10.5083 - mean_absolute_error: 2.46213986/4840 [=======================>......] - ETA: 0s - loss: 10.5131 - mean_absolute_error: 2.46254042/4840 [========================>.....] - ETA: 0s - loss: 10.5113 - mean_absolute_error: 2.46244098/4840 [========================>.....] - ETA: 0s - loss: 10.5042 - mean_absolute_error: 2.46144153/4840 [========================>.....] - ETA: 0s - loss: 10.5106 - mean_absolute_error: 2.46224210/4840 [=========================>....] - ETA: 0s - loss: 10.5115 - mean_absolute_error: 2.46214266/4840 [=========================>....] - ETA: 0s - loss: 10.5128 - mean_absolute_error: 2.46244323/4840 [=========================>....] - ETA: 0s - loss: 10.5159 - mean_absolute_error: 2.46274378/4840 [==========================>...] - ETA: 0s - loss: 10.5139 - mean_absolute_error: 2.46254431/4840 [==========================>...] - ETA: 0s - loss: 10.5168 - mean_absolute_error: 2.46314487/4840 [==========================>...] - ETA: 0s - loss: 10.5147 - mean_absolute_error: 2.46284542/4840 [===========================>..] - ETA: 0s - loss: 10.5178 - mean_absolute_error: 2.46344599/4840 [===========================>..] - ETA: 0s - loss: 10.5173 - mean_absolute_error: 2.46344655/4840 [===========================>..] - ETA: 0s - loss: 10.5134 - mean_absolute_error: 2.46294712/4840 [============================>.] - ETA: 0s - loss: 10.5121 - mean_absolute_error: 2.46274768/4840 [============================>.] - ETA: 0s - loss: 10.5032 - mean_absolute_error: 2.46194822/4840 [============================>.] - ETA: 0s - loss: 10.5049 - mean_absolute_error: 2.46234840/4840 [==============================] - 5s 951us/step - loss: 10.5020 - mean_absolute_error: 2.4621 - val_loss: 11.4931 - val_mean_absolute_error: 2.5809
Epoch 95/100
   1/4840 [..............................] - ETA: 9s - loss: 10.2464 - mean_absolute_error: 2.3285  56/4840 [..............................] - ETA: 4s - loss: 10.0449 - mean_absolute_error: 2.4181 112/4840 [..............................] - ETA: 4s - loss: 10.2906 - mean_absolute_error: 2.4325 169/4840 [>.............................] - ETA: 4s - loss: 10.2918 - mean_absolute_error: 2.4348 226/4840 [>.............................] - ETA: 4s - loss: 10.3009 - mean_absolute_error: 2.4320 282/4840 [>.............................] - ETA: 4s - loss: 10.4076 - mean_absolute_error: 2.4438 337/4840 [=>............................] - ETA: 4s - loss: 10.4538 - mean_absolute_error: 2.4487 394/4840 [=>............................] - ETA: 3s - loss: 10.5109 - mean_absolute_error: 2.4522 448/4840 [=>............................] - ETA: 3s - loss: 10.5184 - mean_absolute_error: 2.4567 504/4840 [==>...........................] - ETA: 3s - loss: 10.4991 - mean_absolute_error: 2.4556 560/4840 [==>...........................] - 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mean_absolute_error: 2.46003521/4840 [====================>.........] - ETA: 1s - loss: 10.5100 - mean_absolute_error: 2.46103577/4840 [=====================>........] - ETA: 1s - loss: 10.5072 - mean_absolute_error: 2.46033633/4840 [=====================>........] - ETA: 1s - loss: 10.5022 - mean_absolute_error: 2.45973684/4840 [=====================>........] - ETA: 1s - loss: 10.4974 - mean_absolute_error: 2.45913727/4840 [======================>.......] - ETA: 1s - loss: 10.4932 - mean_absolute_error: 2.45873781/4840 [======================>.......] - ETA: 0s - loss: 10.4959 - mean_absolute_error: 2.45903834/4840 [======================>.......] - ETA: 0s - loss: 10.4990 - mean_absolute_error: 2.45993889/4840 [=======================>......] - ETA: 0s - loss: 10.4998 - mean_absolute_error: 2.46013945/4840 [=======================>......] - ETA: 0s - loss: 10.4945 - mean_absolute_error: 2.45934000/4840 [=======================>......] - ETA: 0s - loss: 10.4897 - mean_absolute_error: 2.45934056/4840 [========================>.....] - ETA: 0s - loss: 10.4740 - mean_absolute_error: 2.45774112/4840 [========================>.....] - ETA: 0s - loss: 10.4722 - mean_absolute_error: 2.45724170/4840 [========================>.....] - ETA: 0s - loss: 10.4747 - mean_absolute_error: 2.45764227/4840 [=========================>....] - ETA: 0s - loss: 10.4836 - mean_absolute_error: 2.45874284/4840 [=========================>....] - ETA: 0s - loss: 10.4839 - mean_absolute_error: 2.45864341/4840 [=========================>....] - ETA: 0s - loss: 10.4845 - mean_absolute_error: 2.45914397/4840 [==========================>...] - ETA: 0s - loss: 10.4837 - mean_absolute_error: 2.45884453/4840 [==========================>...] - ETA: 0s - loss: 10.4805 - mean_absolute_error: 2.45824507/4840 [==========================>...] - ETA: 0s - loss: 10.4795 - mean_absolute_error: 2.45814563/4840 [===========================>..] - ETA: 0s - loss: 10.4905 - mean_absolute_error: 2.45924621/4840 [===========================>..] - ETA: 0s - loss: 10.4885 - mean_absolute_error: 2.45904677/4840 [===========================>..] - ETA: 0s - loss: 10.4908 - mean_absolute_error: 2.45944734/4840 [============================>.] - ETA: 0s - loss: 10.4963 - mean_absolute_error: 2.46024790/4840 [============================>.] - ETA: 0s - loss: 10.5084 - mean_absolute_error: 2.46184840/4840 [==============================] - 5s 949us/step - loss: 10.5028 - mean_absolute_error: 2.4610 - val_loss: 11.4924 - val_mean_absolute_error: 2.5808
Epoch 96/100
   1/4840 [..............................] - ETA: 9s - loss: 13.8384 - mean_absolute_error: 2.7913  58/4840 [..............................] - ETA: 4s - loss: 10.9044 - mean_absolute_error: 2.5329 114/4840 [..............................] - ETA: 4s - loss: 10.7743 - mean_absolute_error: 2.5152 171/4840 [>.............................] - ETA: 4s - loss: 10.5434 - mean_absolute_error: 2.4821 227/4840 [>.............................] - ETA: 4s - loss: 10.5385 - mean_absolute_error: 2.4797 284/4840 [>.............................] - ETA: 4s - loss: 10.5005 - mean_absolute_error: 2.4694 341/4840 [=>............................] - ETA: 3s - loss: 10.5654 - mean_absolute_error: 2.4781 399/4840 [=>............................] - ETA: 3s - loss: 10.5535 - mean_absolute_error: 2.4758 455/4840 [=>............................] - ETA: 3s - loss: 10.5382 - mean_absolute_error: 2.4741 512/4840 [==>...........................] - ETA: 3s - loss: 10.4721 - mean_absolute_error: 2.4645 568/4840 [==>...........................] - ETA: 3s - loss: 10.4987 - mean_absolute_error: 2.4694 626/4840 [==>...........................] - ETA: 3s - loss: 10.5029 - mean_absolute_error: 2.4695 684/4840 [===>..........................] - ETA: 3s - loss: 10.5554 - mean_absolute_error: 2.4740 740/4840 [===>..........................] - ETA: 3s - loss: 10.5130 - mean_absolute_error: 2.4672 797/4840 [===>..........................] - ETA: 3s - loss: 10.5094 - mean_absolute_error: 2.4676 853/4840 [====>.........................] - ETA: 3s - loss: 10.5462 - mean_absolute_error: 2.4694 907/4840 [====>.........................] - ETA: 3s - loss: 10.5429 - mean_absolute_error: 2.4670 963/4840 [====>.........................] - ETA: 3s - loss: 10.5323 - mean_absolute_error: 2.46431019/4840 [=====>........................] - ETA: 3s - loss: 10.5313 - mean_absolute_error: 2.46471075/4840 [=====>........................] - ETA: 3s - loss: 10.5252 - mean_absolute_error: 2.46531131/4840 [======>.......................] - ETA: 3s - loss: 10.5172 - mean_absolute_error: 2.46491187/4840 [======>.......................] - ETA: 3s - loss: 10.5131 - mean_absolute_error: 2.46381242/4840 [======>.......................] - ETA: 3s - loss: 10.5160 - mean_absolute_error: 2.46251298/4840 [=======>......................] - ETA: 3s - loss: 10.5074 - mean_absolute_error: 2.46201354/4840 [=======>......................] - ETA: 3s - loss: 10.5168 - mean_absolute_error: 2.46391411/4840 [=======>......................] - ETA: 3s - loss: 10.5319 - mean_absolute_error: 2.46571469/4840 [========>.....................] - ETA: 3s - loss: 10.5435 - mean_absolute_error: 2.46701526/4840 [========>.....................] - ETA: 2s - loss: 10.5651 - mean_absolute_error: 2.46921583/4840 [========>.....................] - ETA: 2s - loss: 10.5668 - mean_absolute_error: 2.46901636/4840 [=========>....................] - ETA: 2s - loss: 10.5688 - mean_absolute_error: 2.46901691/4840 [=========>....................] - ETA: 2s - loss: 10.5502 - mean_absolute_error: 2.46581746/4840 [=========>....................] - ETA: 2s - loss: 10.5417 - mean_absolute_error: 2.46441804/4840 [==========>...................] - ETA: 2s - loss: 10.5269 - mean_absolute_error: 2.46291861/4840 [==========>...................] - ETA: 2s - loss: 10.5529 - mean_absolute_error: 2.46681918/4840 [==========>...................] - ETA: 2s - loss: 10.5645 - mean_absolute_error: 2.46791974/4840 [===========>..................] - ETA: 2s - loss: 10.5509 - mean_absolute_error: 2.46672030/4840 [===========>..................] - ETA: 2s - loss: 10.5536 - mean_absolute_error: 2.46812085/4840 [===========>..................] - ETA: 2s - loss: 10.5568 - mean_absolute_error: 2.46882142/4840 [============>.................] - ETA: 2s - loss: 10.5466 - mean_absolute_error: 2.46742198/4840 [============>.................] - ETA: 2s - loss: 10.5211 - mean_absolute_error: 2.46422255/4840 [============>.................] - ETA: 2s - loss: 10.5052 - mean_absolute_error: 2.46222311/4840 [=============>................] - ETA: 2s - loss: 10.5022 - mean_absolute_error: 2.46182367/4840 [=============>................] - ETA: 2s - loss: 10.4962 - mean_absolute_error: 2.46132424/4840 [==============>...............] - ETA: 2s - loss: 10.5065 - mean_absolute_error: 2.46212480/4840 [==============>...............] - ETA: 2s - loss: 10.4899 - mean_absolute_error: 2.45962536/4840 [==============>...............] - ETA: 2s - loss: 10.4714 - mean_absolute_error: 2.45722591/4840 [===============>..............] - ETA: 2s - loss: 10.4717 - mean_absolute_error: 2.45712647/4840 [===============>..............] - ETA: 1s - loss: 10.4680 - mean_absolute_error: 2.45682703/4840 [===============>..............] - ETA: 1s - loss: 10.4804 - mean_absolute_error: 2.45872759/4840 [================>.............] - ETA: 1s - loss: 10.4845 - mean_absolute_error: 2.45962813/4840 [================>.............] - ETA: 1s - loss: 10.4802 - mean_absolute_error: 2.45922868/4840 [================>.............] - ETA: 1s - loss: 10.4892 - mean_absolute_error: 2.45962923/4840 [=================>............] - ETA: 1s - loss: 10.4943 - mean_absolute_error: 2.46042979/4840 [=================>............] - ETA: 1s - loss: 10.4878 - mean_absolute_error: 2.45953034/4840 [=================>............] - ETA: 1s - loss: 10.4922 - mean_absolute_error: 2.46033088/4840 [==================>...........] - ETA: 1s - loss: 10.4949 - mean_absolute_error: 2.46083142/4840 [==================>...........] - ETA: 1s - loss: 10.4904 - mean_absolute_error: 2.46033198/4840 [==================>...........] - ETA: 1s - loss: 10.4885 - mean_absolute_error: 2.46003254/4840 [===================>..........] - ETA: 1s - loss: 10.4875 - mean_absolute_error: 2.45953311/4840 [===================>..........] - ETA: 1s - loss: 10.4856 - mean_absolute_error: 2.45903361/4840 [===================>..........] - ETA: 1s - loss: 10.4899 - mean_absolute_error: 2.45933416/4840 [====================>.........] - ETA: 1s - loss: 10.4896 - mean_absolute_error: 2.45913470/4840 [====================>.........] - ETA: 1s - loss: 10.4939 - mean_absolute_error: 2.45953527/4840 [====================>.........] - ETA: 1s - loss: 10.4924 - mean_absolute_error: 2.45943577/4840 [=====================>........] - ETA: 1s - loss: 10.4936 - mean_absolute_error: 2.45933633/4840 [=====================>........] - ETA: 1s - loss: 10.4982 - mean_absolute_error: 2.45993688/4840 [=====================>........] - ETA: 1s - loss: 10.5000 - mean_absolute_error: 2.46003745/4840 [======================>.......] - ETA: 0s - loss: 10.5027 - mean_absolute_error: 2.46063801/4840 [======================>.......] - ETA: 0s - loss: 10.5032 - mean_absolute_error: 2.46063857/4840 [======================>.......] - ETA: 0s - loss: 10.5142 - mean_absolute_error: 2.46173913/4840 [=======================>......] - ETA: 0s - loss: 10.5033 - mean_absolute_error: 2.46063969/4840 [=======================>......] - ETA: 0s - loss: 10.4922 - mean_absolute_error: 2.45934026/4840 [=======================>......] - ETA: 0s - loss: 10.4903 - mean_absolute_error: 2.45914083/4840 [========================>.....] - ETA: 0s - loss: 10.4932 - mean_absolute_error: 2.45954137/4840 [========================>.....] - ETA: 0s - loss: 10.4973 - mean_absolute_error: 2.45984190/4840 [========================>.....] - ETA: 0s - loss: 10.5089 - mean_absolute_error: 2.46134244/4840 [=========================>....] - ETA: 0s - loss: 10.5046 - mean_absolute_error: 2.46104298/4840 [=========================>....] - ETA: 0s - loss: 10.5007 - mean_absolute_error: 2.46064349/4840 [=========================>....] - ETA: 0s - loss: 10.4942 - mean_absolute_error: 2.46034400/4840 [==========================>...] - ETA: 0s - loss: 10.4988 - mean_absolute_error: 2.46074445/4840 [==========================>...] - ETA: 0s - loss: 10.5031 - mean_absolute_error: 2.46124491/4840 [==========================>...] - ETA: 0s - loss: 10.4968 - mean_absolute_error: 2.46064539/4840 [===========================>..] - ETA: 0s - loss: 10.4989 - mean_absolute_error: 2.46124590/4840 [===========================>..] - ETA: 0s - loss: 10.5021 - mean_absolute_error: 2.46184639/4840 [===========================>..] - ETA: 0s - loss: 10.4987 - mean_absolute_error: 2.46134692/4840 [============================>.] - ETA: 0s - loss: 10.5024 - mean_absolute_error: 2.46174746/4840 [============================>.] - ETA: 0s - loss: 10.4997 - mean_absolute_error: 2.46144801/4840 [============================>.] - ETA: 0s - loss: 10.5004 - mean_absolute_error: 2.46154840/4840 [==============================] - 5s 955us/step - loss: 10.5023 - mean_absolute_error: 2.4619 - val_loss: 11.4986 - val_mean_absolute_error: 2.5810
Epoch 97/100
   1/4840 [..............................] - ETA: 4s - loss: 9.1574 - mean_absolute_error: 2.2576  59/4840 [..............................] - ETA: 4s - loss: 10.4294 - mean_absolute_error: 2.4451 117/4840 [..............................] - ETA: 4s - loss: 10.7044 - mean_absolute_error: 2.4839 172/4840 [>.............................] - ETA: 4s - loss: 10.4200 - mean_absolute_error: 2.4535 227/4840 [>.............................] - ETA: 4s - loss: 10.5203 - mean_absolute_error: 2.4651 283/4840 [>.............................] - ETA: 4s - loss: 10.5281 - mean_absolute_error: 2.4664 339/4840 [=>............................] - ETA: 4s - loss: 10.5002 - mean_absolute_error: 2.4621 396/4840 [=>............................] - ETA: 3s - loss: 10.4395 - mean_absolute_error: 2.4551 452/4840 [=>............................] - ETA: 3s - loss: 10.4372 - mean_absolute_error: 2.4528 508/4840 [==>...........................] - ETA: 3s - loss: 10.4107 - mean_absolute_error: 2.4480 564/4840 [==>...........................] - ETA: 3s - loss: 10.3973 - mean_absolute_error: 2.4461 621/4840 [==>...........................] - ETA: 3s - loss: 10.4539 - mean_absolute_error: 2.4520 677/4840 [===>..........................] - ETA: 3s - loss: 10.4938 - mean_absolute_error: 2.4572 735/4840 [===>..........................] - ETA: 3s - loss: 10.4511 - mean_absolute_error: 2.4528 792/4840 [===>..........................] - ETA: 3s - loss: 10.4096 - mean_absolute_error: 2.4462 851/4840 [====>.........................] - ETA: 3s - loss: 10.3928 - mean_absolute_error: 2.4447 908/4840 [====>.........................] - ETA: 3s - loss: 10.4234 - mean_absolute_error: 2.4512 962/4840 [====>.........................] - ETA: 3s - loss: 10.4212 - mean_absolute_error: 2.45081018/4840 [=====>........................] - ETA: 3s - loss: 10.4405 - mean_absolute_error: 2.45201073/4840 [=====>........................] - ETA: 3s - loss: 10.4295 - mean_absolute_error: 2.44991129/4840 [=====>........................] - ETA: 3s - loss: 10.4445 - 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ETA: 2s - loss: 10.4454 - mean_absolute_error: 2.45541808/4840 [==========>...................] - ETA: 2s - loss: 10.4453 - mean_absolute_error: 2.45591863/4840 [==========>...................] - ETA: 2s - loss: 10.4421 - mean_absolute_error: 2.45491917/4840 [==========>...................] - ETA: 2s - loss: 10.4293 - mean_absolute_error: 2.45321974/4840 [===========>..................] - ETA: 2s - loss: 10.4344 - mean_absolute_error: 2.45352031/4840 [===========>..................] - ETA: 2s - loss: 10.4302 - mean_absolute_error: 2.45302087/4840 [===========>..................] - ETA: 2s - loss: 10.4349 - mean_absolute_error: 2.45342144/4840 [============>.................] - ETA: 2s - loss: 10.4336 - mean_absolute_error: 2.45412201/4840 [============>.................] - ETA: 2s - loss: 10.4305 - mean_absolute_error: 2.45402258/4840 [============>.................] - ETA: 2s - loss: 10.4226 - mean_absolute_error: 2.45272315/4840 [=============>................] - ETA: 2s - loss: 10.4291 - 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mean_absolute_error: 2.45843547/4840 [====================>.........] - ETA: 1s - loss: 10.4627 - mean_absolute_error: 2.45783604/4840 [=====================>........] - ETA: 1s - loss: 10.4607 - mean_absolute_error: 2.45723660/4840 [=====================>........] - ETA: 1s - loss: 10.4663 - mean_absolute_error: 2.45783714/4840 [======================>.......] - ETA: 1s - loss: 10.4648 - mean_absolute_error: 2.45783767/4840 [======================>.......] - ETA: 0s - loss: 10.4703 - mean_absolute_error: 2.45873823/4840 [======================>.......] - ETA: 0s - loss: 10.4774 - mean_absolute_error: 2.45943880/4840 [=======================>......] - ETA: 0s - loss: 10.4841 - mean_absolute_error: 2.46053937/4840 [=======================>......] - ETA: 0s - loss: 10.4858 - mean_absolute_error: 2.46033994/4840 [=======================>......] - ETA: 0s - loss: 10.4889 - mean_absolute_error: 2.46064050/4840 [========================>.....] - ETA: 0s - loss: 10.4932 - mean_absolute_error: 2.46084106/4840 [========================>.....] - ETA: 0s - loss: 10.4927 - mean_absolute_error: 2.46074163/4840 [========================>.....] - ETA: 0s - loss: 10.4942 - mean_absolute_error: 2.46094218/4840 [=========================>....] - ETA: 0s - loss: 10.4988 - mean_absolute_error: 2.46164275/4840 [=========================>....] - ETA: 0s - loss: 10.4931 - mean_absolute_error: 2.46084331/4840 [=========================>....] - ETA: 0s - loss: 10.4881 - mean_absolute_error: 2.45994388/4840 [==========================>...] - ETA: 0s - loss: 10.4871 - mean_absolute_error: 2.45974444/4840 [==========================>...] - ETA: 0s - loss: 10.4828 - mean_absolute_error: 2.45884501/4840 [==========================>...] - ETA: 0s - loss: 10.4847 - mean_absolute_error: 2.45884558/4840 [===========================>..] - ETA: 0s - loss: 10.4831 - mean_absolute_error: 2.45844613/4840 [===========================>..] - ETA: 0s - loss: 10.4889 - mean_absolute_error: 2.45894662/4840 [===========================>..] - ETA: 0s - loss: 10.4890 - mean_absolute_error: 2.45904717/4840 [============================>.] - ETA: 0s - loss: 10.4964 - mean_absolute_error: 2.45994774/4840 [============================>.] - ETA: 0s - loss: 10.5043 - mean_absolute_error: 2.46094829/4840 [============================>.] - ETA: 0s - loss: 10.5060 - mean_absolute_error: 2.46084840/4840 [==============================] - 5s 941us/step - loss: 10.5035 - mean_absolute_error: 2.4605 - val_loss: 11.4989 - val_mean_absolute_error: 2.5811
Epoch 98/100
   1/4840 [..............................] - ETA: 9s - loss: 11.9601 - mean_absolute_error: 2.5940  58/4840 [..............................] - ETA: 4s - loss: 10.0409 - mean_absolute_error: 2.4032 114/4840 [..............................] - ETA: 4s - loss: 10.4887 - mean_absolute_error: 2.4711 171/4840 [>.............................] - ETA: 4s - loss: 10.3307 - mean_absolute_error: 2.4432 228/4840 [>.............................] - ETA: 4s - loss: 10.2264 - mean_absolute_error: 2.4290 285/4840 [>.............................] - ETA: 4s - loss: 10.1921 - mean_absolute_error: 2.4207 341/4840 [=>............................] - ETA: 3s - loss: 10.2667 - mean_absolute_error: 2.4319 398/4840 [=>............................] - ETA: 3s - loss: 10.3170 - mean_absolute_error: 2.4423 457/4840 [=>............................] - ETA: 3s - loss: 10.3574 - mean_absolute_error: 2.4475 515/4840 [==>...........................] - ETA: 3s - loss: 10.3180 - mean_absolute_error: 2.4423 573/4840 [==>...........................] - ETA: 3s - loss: 10.4142 - mean_absolute_error: 2.4530 629/4840 [==>...........................] - ETA: 3s - loss: 10.3837 - mean_absolute_error: 2.4495 683/4840 [===>..........................] - ETA: 3s - loss: 10.3505 - mean_absolute_error: 2.4460 739/4840 [===>..........................] - ETA: 3s - loss: 10.3699 - mean_absolute_error: 2.4477 796/4840 [===>..........................] - ETA: 3s - loss: 10.3568 - mean_absolute_error: 2.4452 853/4840 [====>.........................] - ETA: 3s - loss: 10.3874 - mean_absolute_error: 2.4483 909/4840 [====>.........................] - ETA: 3s - loss: 10.3710 - mean_absolute_error: 2.4447 966/4840 [====>.........................] - ETA: 3s - loss: 10.3810 - mean_absolute_error: 2.44511022/4840 [=====>........................] - ETA: 3s - loss: 10.4077 - mean_absolute_error: 2.44971079/4840 [=====>........................] - ETA: 3s - loss: 10.3715 - mean_absolute_error: 2.44491135/4840 [======>.......................] - ETA: 3s - loss: 10.3815 - mean_absolute_error: 2.44541192/4840 [======>.......................] - ETA: 3s - loss: 10.3925 - mean_absolute_error: 2.44751249/4840 [======>.......................] - ETA: 3s - loss: 10.4235 - mean_absolute_error: 2.45111304/4840 [=======>......................] - ETA: 3s - loss: 10.4378 - mean_absolute_error: 2.45291361/4840 [=======>......................] - ETA: 3s - loss: 10.4401 - mean_absolute_error: 2.45221417/4840 [=======>......................] - ETA: 3s - loss: 10.4384 - mean_absolute_error: 2.45231473/4840 [========>.....................] - ETA: 3s - loss: 10.4345 - mean_absolute_error: 2.45261530/4840 [========>.....................] - ETA: 2s - loss: 10.4278 - mean_absolute_error: 2.45231586/4840 [========>.....................] - ETA: 2s - loss: 10.4218 - mean_absolute_error: 2.45041642/4840 [=========>....................] - ETA: 2s - loss: 10.4352 - mean_absolute_error: 2.45161699/4840 [=========>....................] - ETA: 2s - loss: 10.4434 - mean_absolute_error: 2.45291755/4840 [=========>....................] - ETA: 2s - loss: 10.4658 - mean_absolute_error: 2.45601811/4840 [==========>...................] - ETA: 2s - loss: 10.4711 - mean_absolute_error: 2.45701868/4840 [==========>...................] - ETA: 2s - loss: 10.4676 - mean_absolute_error: 2.45731924/4840 [==========>...................] - ETA: 2s - loss: 10.4651 - mean_absolute_error: 2.45791981/4840 [===========>..................] - ETA: 2s - loss: 10.4674 - mean_absolute_error: 2.45872037/4840 [===========>..................] - ETA: 2s - loss: 10.4582 - mean_absolute_error: 2.45702095/4840 [===========>..................] - ETA: 2s - loss: 10.4430 - mean_absolute_error: 2.45432152/4840 [============>.................] - ETA: 2s - loss: 10.4579 - mean_absolute_error: 2.45612207/4840 [============>.................] - ETA: 2s - loss: 10.4568 - mean_absolute_error: 2.45602265/4840 [=============>................] - ETA: 2s - loss: 10.4604 - mean_absolute_error: 2.45582321/4840 [=============>................] - ETA: 2s - loss: 10.4675 - 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ETA: 1s - loss: 10.4766 - mean_absolute_error: 2.45743006/4840 [=================>............] - ETA: 1s - loss: 10.4834 - mean_absolute_error: 2.45823062/4840 [=================>............] - ETA: 1s - loss: 10.4748 - mean_absolute_error: 2.45683119/4840 [==================>...........] - ETA: 1s - loss: 10.4669 - mean_absolute_error: 2.45563175/4840 [==================>...........] - ETA: 1s - loss: 10.4589 - mean_absolute_error: 2.45483232/4840 [===================>..........] - ETA: 1s - loss: 10.4651 - mean_absolute_error: 2.45533291/4840 [===================>..........] - ETA: 1s - loss: 10.4628 - mean_absolute_error: 2.45513349/4840 [===================>..........] - ETA: 1s - loss: 10.4736 - mean_absolute_error: 2.45643405/4840 [====================>.........] - ETA: 1s - loss: 10.4692 - mean_absolute_error: 2.45563462/4840 [====================>.........] - ETA: 1s - loss: 10.4642 - mean_absolute_error: 2.45513518/4840 [====================>.........] - ETA: 1s - loss: 10.4716 - mean_absolute_error: 2.45583575/4840 [=====================>........] - ETA: 1s - loss: 10.4772 - mean_absolute_error: 2.45653630/4840 [=====================>........] - ETA: 1s - loss: 10.4786 - mean_absolute_error: 2.45673687/4840 [=====================>........] - ETA: 1s - loss: 10.4776 - mean_absolute_error: 2.45673744/4840 [======================>.......] - ETA: 0s - loss: 10.4697 - mean_absolute_error: 2.45573800/4840 [======================>.......] - ETA: 0s - loss: 10.4714 - mean_absolute_error: 2.45653854/4840 [======================>.......] - ETA: 0s - loss: 10.4703 - mean_absolute_error: 2.45663910/4840 [=======================>......] - ETA: 0s - loss: 10.4810 - mean_absolute_error: 2.45823964/4840 [=======================>......] - ETA: 0s - loss: 10.4849 - mean_absolute_error: 2.45884019/4840 [=======================>......] - ETA: 0s - loss: 10.4887 - mean_absolute_error: 2.45954073/4840 [========================>.....] - ETA: 0s - loss: 10.4834 - mean_absolute_error: 2.45864128/4840 [========================>.....] - ETA: 0s - loss: 10.4848 - mean_absolute_error: 2.45874183/4840 [========================>.....] - ETA: 0s - loss: 10.4791 - mean_absolute_error: 2.45804240/4840 [=========================>....] - ETA: 0s - loss: 10.4843 - mean_absolute_error: 2.45874296/4840 [=========================>....] - ETA: 0s - loss: 10.4850 - mean_absolute_error: 2.45894352/4840 [=========================>....] - ETA: 0s - loss: 10.4896 - mean_absolute_error: 2.45954408/4840 [==========================>...] - ETA: 0s - loss: 10.4952 - mean_absolute_error: 2.46074466/4840 [==========================>...] - ETA: 0s - loss: 10.5014 - mean_absolute_error: 2.46154522/4840 [===========================>..] - ETA: 0s - loss: 10.5016 - mean_absolute_error: 2.46114581/4840 [===========================>..] - ETA: 0s - loss: 10.5101 - mean_absolute_error: 2.46234637/4840 [===========================>..] - ETA: 0s - loss: 10.5086 - mean_absolute_error: 2.46214693/4840 [============================>.] - ETA: 0s - loss: 10.5047 - mean_absolute_error: 2.46164750/4840 [============================>.] - ETA: 0s - loss: 10.5008 - mean_absolute_error: 2.46114805/4840 [============================>.] - ETA: 0s - loss: 10.5021 - mean_absolute_error: 2.46144840/4840 [==============================] - 5s 936us/step - loss: 10.5036 - mean_absolute_error: 2.4614 - val_loss: 11.4975 - val_mean_absolute_error: 2.5810
Epoch 99/100
   1/4840 [..............................] - ETA: 4s - loss: 10.0348 - mean_absolute_error: 2.4602  56/4840 [..............................] - ETA: 4s - loss: 10.5594 - mean_absolute_error: 2.4773 111/4840 [..............................] - ETA: 4s - loss: 10.6177 - mean_absolute_error: 2.4856 167/4840 [>.............................] - ETA: 4s - loss: 10.7323 - mean_absolute_error: 2.5000 224/4840 [>.............................] - ETA: 4s - loss: 10.8317 - mean_absolute_error: 2.5150 280/4840 [>.............................] - ETA: 4s - loss: 10.6666 - mean_absolute_error: 2.4931 336/4840 [=>............................] - ETA: 4s - loss: 10.6605 - mean_absolute_error: 2.4922 393/4840 [=>............................] - ETA: 4s - loss: 10.7226 - mean_absolute_error: 2.5013 451/4840 [=>............................] - ETA: 3s - loss: 10.6204 - mean_absolute_error: 2.4845 510/4840 [==>...........................] - ETA: 3s - loss: 10.5749 - mean_absolute_error: 2.4772 566/4840 [==>...........................] - 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mean_absolute_error: 2.44862375/4840 [=============>................] - ETA: 2s - loss: 10.3991 - mean_absolute_error: 2.44642431/4840 [==============>...............] - ETA: 2s - loss: 10.4209 - mean_absolute_error: 2.44932487/4840 [==============>...............] - ETA: 2s - loss: 10.4387 - mean_absolute_error: 2.45142543/4840 [==============>...............] - ETA: 2s - loss: 10.4469 - mean_absolute_error: 2.45212599/4840 [===============>..............] - ETA: 1s - loss: 10.4638 - mean_absolute_error: 2.45412656/4840 [===============>..............] - ETA: 1s - loss: 10.4476 - mean_absolute_error: 2.45182713/4840 [===============>..............] - ETA: 1s - loss: 10.4518 - mean_absolute_error: 2.45272770/4840 [================>.............] - ETA: 1s - loss: 10.4433 - mean_absolute_error: 2.45172826/4840 [================>.............] - ETA: 1s - loss: 10.4547 - mean_absolute_error: 2.45332883/4840 [================>.............] - ETA: 1s - loss: 10.4555 - mean_absolute_error: 2.45342939/4840 [=================>............] - 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mean_absolute_error: 2.45883565/4840 [=====================>........] - ETA: 1s - loss: 10.4882 - mean_absolute_error: 2.45883619/4840 [=====================>........] - ETA: 1s - loss: 10.4956 - mean_absolute_error: 2.46013676/4840 [=====================>........] - ETA: 1s - loss: 10.4962 - mean_absolute_error: 2.46003732/4840 [======================>.......] - ETA: 0s - loss: 10.4888 - mean_absolute_error: 2.45863789/4840 [======================>.......] - ETA: 0s - loss: 10.4924 - mean_absolute_error: 2.45893845/4840 [======================>.......] - ETA: 0s - loss: 10.4972 - mean_absolute_error: 2.45953902/4840 [=======================>......] - ETA: 0s - loss: 10.4926 - mean_absolute_error: 2.45883959/4840 [=======================>......] - ETA: 0s - loss: 10.4919 - mean_absolute_error: 2.45884016/4840 [=======================>......] - ETA: 0s - loss: 10.4943 - mean_absolute_error: 2.45874073/4840 [========================>.....] - ETA: 0s - loss: 10.4958 - mean_absolute_error: 2.45904130/4840 [========================>.....] - ETA: 0s - loss: 10.5059 - mean_absolute_error: 2.46034186/4840 [========================>.....] - ETA: 0s - loss: 10.5071 - mean_absolute_error: 2.46054242/4840 [=========================>....] - ETA: 0s - loss: 10.5004 - mean_absolute_error: 2.46004300/4840 [=========================>....] - ETA: 0s - loss: 10.5060 - mean_absolute_error: 2.46074357/4840 [==========================>...] - ETA: 0s - loss: 10.5017 - mean_absolute_error: 2.46074413/4840 [==========================>...] - ETA: 0s - loss: 10.4987 - mean_absolute_error: 2.46004471/4840 [==========================>...] - ETA: 0s - loss: 10.4979 - mean_absolute_error: 2.45994528/4840 [===========================>..] - ETA: 0s - loss: 10.4956 - mean_absolute_error: 2.45974585/4840 [===========================>..] - ETA: 0s - loss: 10.5043 - mean_absolute_error: 2.46084642/4840 [===========================>..] - ETA: 0s - loss: 10.5017 - mean_absolute_error: 2.46074699/4840 [============================>.] - ETA: 0s - loss: 10.4974 - mean_absolute_error: 2.46044755/4840 [============================>.] - ETA: 0s - loss: 10.5017 - mean_absolute_error: 2.46114812/4840 [============================>.] - ETA: 0s - loss: 10.5044 - mean_absolute_error: 2.46144840/4840 [==============================] - 5s 930us/step - loss: 10.5034 - mean_absolute_error: 2.4613 - val_loss: 11.4977 - val_mean_absolute_error: 2.5809
Epoch 100/100
   1/4840 [..............................] - ETA: 4s - loss: 8.1264 - mean_absolute_error: 2.0873  58/4840 [..............................] - ETA: 4s - loss: 10.6138 - mean_absolute_error: 2.4964 115/4840 [..............................] - ETA: 4s - loss: 10.5939 - mean_absolute_error: 2.4894 173/4840 [>.............................] - ETA: 4s - loss: 10.4123 - mean_absolute_error: 2.4554 229/4840 [>.............................] - ETA: 4s - loss: 10.4032 - mean_absolute_error: 2.4482 287/4840 [>.............................] - ETA: 4s - loss: 10.3165 - mean_absolute_error: 2.4386 344/4840 [=>............................] - ETA: 3s - loss: 10.3486 - mean_absolute_error: 2.4418 401/4840 [=>............................] - ETA: 3s - loss: 10.3345 - mean_absolute_error: 2.4395 458/4840 [=>............................] - ETA: 3s - loss: 10.3920 - mean_absolute_error: 2.4480 516/4840 [==>...........................] - ETA: 3s - loss: 10.4434 - mean_absolute_error: 2.4526 574/4840 [==>...........................] - ETA: 3s - loss: 10.4307 - mean_absolute_error: 2.4511 629/4840 [==>...........................] - ETA: 3s - loss: 10.3836 - mean_absolute_error: 2.4467 685/4840 [===>..........................] - ETA: 3s - loss: 10.3948 - mean_absolute_error: 2.4475 742/4840 [===>..........................] - ETA: 3s - loss: 10.4228 - mean_absolute_error: 2.4505 798/4840 [===>..........................] - ETA: 3s - loss: 10.4052 - mean_absolute_error: 2.4469 855/4840 [====>.........................] - ETA: 3s - loss: 10.3587 - mean_absolute_error: 2.4408 911/4840 [====>.........................] - ETA: 3s - loss: 10.3720 - mean_absolute_error: 2.4429 969/4840 [=====>........................] - ETA: 3s - loss: 10.3901 - mean_absolute_error: 2.44581026/4840 [=====>........................] - ETA: 3s - loss: 10.3733 - mean_absolute_error: 2.44321082/4840 [=====>........................] - ETA: 3s - loss: 10.3790 - mean_absolute_error: 2.44271138/4840 [======>.......................] - ETA: 3s - loss: 10.3882 - mean_absolute_error: 2.44391195/4840 [======>.......................] - ETA: 3s - loss: 10.4186 - mean_absolute_error: 2.44841252/4840 [======>.......................] - ETA: 3s - loss: 10.4336 - mean_absolute_error: 2.45131309/4840 [=======>......................] - ETA: 3s - loss: 10.4508 - mean_absolute_error: 2.45371367/4840 [=======>......................] - ETA: 3s - loss: 10.4775 - mean_absolute_error: 2.45681423/4840 [=======>......................] - ETA: 3s - loss: 10.4650 - mean_absolute_error: 2.45621479/4840 [========>.....................] - ETA: 2s - loss: 10.4643 - mean_absolute_error: 2.45581536/4840 [========>.....................] - ETA: 2s - loss: 10.4612 - mean_absolute_error: 2.45461592/4840 [========>.....................] - ETA: 2s - loss: 10.4503 - mean_absolute_error: 2.45391650/4840 [=========>....................] - ETA: 2s - loss: 10.4503 - mean_absolute_error: 2.45371707/4840 [=========>....................] - ETA: 2s - loss: 10.4348 - mean_absolute_error: 2.45161763/4840 [=========>....................] - 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mean_absolute_error: 2.44942388/4840 [=============>................] - ETA: 2s - loss: 10.4099 - mean_absolute_error: 2.45042444/4840 [==============>...............] - ETA: 2s - loss: 10.4206 - mean_absolute_error: 2.45242501/4840 [==============>...............] - ETA: 2s - loss: 10.4252 - mean_absolute_error: 2.45312557/4840 [==============>...............] - ETA: 2s - loss: 10.4385 - mean_absolute_error: 2.45492613/4840 [===============>..............] - ETA: 1s - loss: 10.4403 - mean_absolute_error: 2.45532670/4840 [===============>..............] - ETA: 1s - loss: 10.4408 - mean_absolute_error: 2.45452726/4840 [===============>..............] - ETA: 1s - loss: 10.4273 - mean_absolute_error: 2.45242784/4840 [================>.............] - ETA: 1s - loss: 10.4346 - mean_absolute_error: 2.45342840/4840 [================>.............] - ETA: 1s - loss: 10.4292 - mean_absolute_error: 2.45262896/4840 [================>.............] - ETA: 1s - loss: 10.4339 - mean_absolute_error: 2.45302952/4840 [=================>............] - 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ETA: 0s - loss: 10.4864 - mean_absolute_error: 2.45924201/4840 [=========================>....] - ETA: 0s - loss: 10.4849 - mean_absolute_error: 2.45894257/4840 [=========================>....] - ETA: 0s - loss: 10.4912 - mean_absolute_error: 2.45954312/4840 [=========================>....] - ETA: 0s - loss: 10.4876 - mean_absolute_error: 2.45914370/4840 [==========================>...] - ETA: 0s - loss: 10.4892 - mean_absolute_error: 2.45954427/4840 [==========================>...] - ETA: 0s - loss: 10.4900 - mean_absolute_error: 2.45984485/4840 [==========================>...] - ETA: 0s - loss: 10.4918 - mean_absolute_error: 2.46014541/4840 [===========================>..] - ETA: 0s - loss: 10.4892 - mean_absolute_error: 2.45974598/4840 [===========================>..] - ETA: 0s - loss: 10.4992 - mean_absolute_error: 2.46084655/4840 [===========================>..] - ETA: 0s - loss: 10.5017 - mean_absolute_error: 2.46104713/4840 [============================>.] - ETA: 0s - loss: 10.4981 - mean_absolute_error: 2.46054765/4840 [============================>.] - ETA: 0s - loss: 10.4990 - mean_absolute_error: 2.46064821/4840 [============================>.] - ETA: 0s - loss: 10.4982 - mean_absolute_error: 2.46064840/4840 [==============================] - 5s 932us/step - loss: 10.5031 - mean_absolute_error: 2.4612 - val_loss: 11.4974 - val_mean_absolute_error: 2.5815

To measure the change in the mean_absolute_error statistic within my epochs (or run through the datasets) during the attempt to fit the Machine Learning model above as they were being completed, I made a line-graph visualization to see the fluctuation in the error as shown below.

```{python}
# Plot the Validation Mean Absolute Error throughout the fitting of the model across epochs
pd.Series(book_rec_history.history["val_loss"][15:]).plot(logy=False, color="gold")
plt.xlabel("Epoch")
plt.ylabel("Validation Error")
plt.title("Change in Validation Mean Absolute Error Across Epochs")
plt.show()

print("Minimum MSE:", min(book_rec_history.history["val_loss"]))
```

Minimum MSE: 11.467068672180176

With the Machine Learning model fitted, it would be a good time to evaluate the effectiveness of my model. Thus, I will calculate metrics (as shown below) such as Precision Score, ROC-AUC (Receiver Operating Characteristic (Curve) - Area Under the Curve) Score, F1 Score, Recall Score, and the Confusion Matrix. For the classification metrics, I applied a threshold rating of 5.0 or above to indicate as an acceptable rating to recommend a book, based on the logic that there would be more positive than negative reviews for that book-title, on average. All of the calcuations are shown in the following code snippet as well as its corresponding visualizations.

```{python}
predicted_ratings = model.predict(x=(X_test["New-User-ID"], X_test["New-ISBN"])).flatten()

book_rec_history_model_loss, book_rec_history_model_accuracy = model.evaluate(x=(X_test["New-User-ID"], X_test["New-ISBN"]), y=X_test["Book-Rating"])
book_rec_history_model_accuracy /= 10

# Threshold the predicted ratings to binary-classified recommendations (e.g., using a threshold of >= 5 for recommending book)
threshold = 5
predicted_labels_bin_classify = (predicted_ratings.copy() >= threshold).astype(int)
actual_labels_bin_classify = (X_test["Book-Rating"].copy() >= threshold).astype(int)

actual_ratings_int = predicted_labels_bin_classify.copy().astype(int)
predicted_ratings_int = actual_labels_bin_classify.copy().astype(int)
clf_report = pd.DataFrame(classification_report(y_true=actual_ratings_int, y_pred=predicted_ratings_int, output_dict=True, zero_division=0))

y_test_book_rating = predicted_labels_bin_classify
y_pred_book_rating = actual_labels_bin_classify

avg_precision_score = average_precision_score(y_true=actual_labels_bin_classify, y_score=predicted_labels_bin_classify)

# Compute and output statistics for Average Precision, Accuracy, and ROC AUC Scores as well as the Classifcation Report
print(f"Average Precision Score (When Compared to Test Set): {avg_precision_score * 100:.2f}%")
print("_______________________________________________")
print(f"Accuracy Score (When Compared to Test Set): {book_rec_history_model_accuracy * 100:.2f}%)")
print("_______________________________________________")
print(f"ROC AUC Score: {roc_auc_score(y_test_book_rating, y_pred_book_rating) * 100:.2f}%")
print("_______________________________________________")
print(f"CLASSIFICATION REPORT:\n{clf_report}")

# Calculate and output Precision, Recall, F1-Score, and Confusion Matrix
precision, recall, f1_score, _ = precision_recall_fscore_support(y_true=actual_labels_bin_classify, y_pred=predicted_labels_bin_classify, average='binary')
model_performance_metrics: [str] = ["Precision", "Recall", "F1_Score"]
model_performance_metrics_values: [float] = [precision, recall, f1_score]
print("_______________________________________________")
print(f"Precision Score: {precision * 100:.2f}%")
print("_______________________________________________")
print(f"Recall Score: {recall * 100:.2f}%")
print("_______________________________________________")
print(f"F1 Score: {f1_score * 100:.2f}%")
print("_______________________________________________")
print(f"Confusion Matrix:\n{confusion_matrix(y_test_book_rating, y_pred_book_rating)}")

plt.figure(figsize=(10, 8))
plt.bar(model_performance_metrics, model_performance_metrics_values, color=["blue", "green", "orange"])
plt.xlabel("Metrics")
plt.ylabel("Score")
plt.title("Recommendation Model Evaluation Metrics")
plt.show()

# Create the confusion matrix
conf_matrix = confusion_matrix(y_test_book_rating, y_pred_book_rating)

# Plot the confusion matrix
plt.figure(figsize=(10, 8))
sns.heatmap(conf_matrix, annot=True, fmt='d', cmap='Blues')
plt.xlabel('Predicted Label')
plt.ylabel('Actual Label')
plt.title('Confusion Matrix')
plt.show()
```
  1/269 [..............................] - ETA: 18s 70/269 [======>.......................] - ETA: 0s 144/269 [===============>..............] - ETA: 0s217/269 [=======================>......] - ETA: 0s269/269 [==============================] - 0s 694us/step
  1/269 [..............................] - ETA: 5s - loss: 9.2296 - mean_absolute_error: 2.3239 62/269 [=====>........................] - ETA: 0s - loss: 10.8970 - mean_absolute_error: 2.5122125/269 [============>.................] - ETA: 0s - loss: 11.2947 - mean_absolute_error: 2.5571191/269 [====================>.........] - ETA: 0s - loss: 11.4236 - mean_absolute_error: 2.5687259/269 [===========================>..] - ETA: 0s - loss: 11.4846 - mean_absolute_error: 2.5751269/269 [==============================] - 0s 785us/step - loss: 11.4775 - mean_absolute_error: 2.5755
Average Precision Score (When Compared to Test Set): 39.67%
_______________________________________________
Accuracy Score (When Compared to Test Set): 25.75%)
_______________________________________________
ROC AUC Score: 72.32%
_______________________________________________
CLASSIFICATION REPORT:
                     0           1  accuracy    macro avg  weighted avg
precision     0.952672    0.255118  0.746746     0.603895      0.876868
recall        0.753292    0.693048  0.746746     0.723170      0.746746
f1-score      0.841331    0.372950  0.746746     0.607140      0.790432
support    7669.000000  935.000000  0.746746  8604.000000   8604.000000
_______________________________________________
Precision Score: 69.30%
_______________________________________________
Recall Score: 25.51%
_______________________________________________
F1 Score: 37.29%
_______________________________________________
Confusion Matrix:
[[5777 1892]
 [ 287  648]]

Conclusions

  • Based on the Accuracy Score at 25.75%, Precision Score at 68.86%, and Recall Score at 25.51%, I found that my simple Book Recommendation Machine Learning model was not as good as I hoped in utilzing the train and validation datasets to fit my model in order to evaluate with my testing dataset. Looking at back my steps / approach, I realize that I may have overfitted by a great amount by training my Machine Learning model above approximately 10-15 epochs. When looking closely at the Change in Validation Mean Absolute Error Across Epochs Visualization, the validation error (i.e. the validation loss) was at its lowest in this duration and only went up from there in subsequent epoch training iterations. I would most likely re-train the model if I did this blog post project again.

  • Utimately, I learned a great deal from this blog post as I now better understand how basic Input/Embeddings/Output from Tensorflow works in the topic of neural networks in Machine Learning. Of course, seeing the real life implications of recommendation systems like this (but scaled up on a much higher, economic level) makes me appreciate the complexity of this disclipine and ML-subfield because reaching the end of this blog post was nonetheless difficult for my basic implementation. I cannot imagine what it must be like to have to maintain larger, production-critical systems that tackle these problems on a daily basis.

Reference Sources and Citations (IEEE Format)

To complete this blog post, I used the following online sources as references for developing this:

[1] Book Recommendation Dataset:

Möbius, “Book Recommendation Dataset”, Apr.-2023. [Online]. Available: https://www.kaggle.com/datasets/arashnic/book-recommendation-dataset. [Accessed: 25-Sep.-2023].

[2] Tutorial on Basics of Machine Learning Recommendation Systems:

M. Ahammad, “Movie Recommender Systems Using Neural Network,” 2020. [Online]. Available: https://www.kaggle.com/code/mejbahahammad/movie-recommender-systems-using-neural-network. [Accessed: 25-Sep.-2023].

[3] Tutorial on Sample Visualizations for Machine Learning Recommendation Systems:

Great Learning Team, “Excerpts From a Masterclass on Movie Recommendation System,” 22-Aug.-2022. Available: https://www.mygreatlearning.com/blog/masterclass-on-movie-recommendation-system/. [Accessed: 26-Sep.2023].

[4] Tutorial on Evaluating Machine Learning Recommendation Systems:

A. Johannsdottir, “Implementing Your Own Recommmender Systems in Python”, 28-Nov.-2019. Available: https://www.cambridgespark.com/info/recommender-systems-in-python. [Accessed: 27-Sep.2023].